Asia-Pacific Mirror Site
Europe Mirror Site
Mirror Site for Asia
Mirror Site for Middle East
USA Site
I always welcome information regarding any further references for inclusion. You may like to contact me by sending me an email your comments/suggestions or corrections for improvement. Thank you.
Other resources in this series are:
- Decision Science Resources , Europe Mirror Site.
- Modeling and Simulation Resources, Europe Mirror Site.
To search the site, try Edit | Find in page [Ctrl + f]. Enter a word or phrase in the dialogue box, e.g. "parameter" or "probability" If the first appearance of the word/phrase is not what you are looking for, try Find Next.
MENU
A Collection of JavaScript E-labs, Europe Mirror Site
Interesting and Useful Sites (topical category)
Archival Journal Articles: Authors' Index
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Abstract of the papers may be found at: MATH A Basic Scientific Calculator
General Resources
A Catalog of Mathematics Resources on WWW and the Internet
A Collection of JavaScript E-labs
Agent-Based Computational Economics (ACE)
A New View of Statistics
Applied statistics algorithms (by Alan Miller)
Applied statistics algorithms (from StatLib)
Association for Survey Computing
AT&T Laboratories (Research Reports)
Attractive WWW Sites for Statistics
Bayesian Inference for the Physical Sciences
Bayesian Model Averaging
Bayesian Statistics
Bayes' Revised Probability Applet
Behavioral Statistics
Bibliographies (Florida State University)
Bibliography of Wavelet and Time Series Titles
Biological Statistics
Biostatistical Software Routines (by Paul Johnson)
Biostatistics & Statistics Sites (by Betty Jung)
Bookstores
BUBL Link
Business Statistics, Europe Mirror Site
Chi-square Test for Crosstable Relationship
Classification and Regression Trees
Classification Trees
Clustering
Computational Statistics for Multinomial Distributions
Computers and Computational Statistics , Europe Mirror Site.
Conferences |I |II |III |IV |Conferences-Euresco|
Consommation et culture matérielle
Current Index to Statistics
Descriptive Statistics
Discussion Groups and Listserv Lists (by Mike Fuller)
Ecological Data Analysis (by Jean Thioulouse)
Ecology WWW page
Econometric Links
Econometric Software (free)
Econometrics World (by Gilbert Lui)
Economic Journals on the Web
ELA Mathematics Directory
Elsevier Science Pub. Statistics & Probability site
Encyclopedia on Mathematics and Statistics
Entropy on the World Wide Web
Environmental Dynamics Institute (EDI)
Epidemiology and Biostatistics
Epidemiology Index (by Betty Jung)
Estimating equations and density functions (by Michael McLaughlin)
Excel For Introductory Statistical Analysis , Europe Mirror Site.
Finance & Economics (by Eric Crittenden)
Finance and Investments
Financial, Economic, and Others Selected Links (by Marco Guimarães Dias)
FinWeb
Forecasting Principles (by Scott Armstrong)
Forecasting resources on the web
Forecasting Software Survey
Free Software/Patches (by FORTRAN Library)
German Scientific Computing
Goodness-of-Fit Test for Discrete Random Variables
GRC: The Gordon Research Conferences in the biological, chemical, and physical sciences
Health
Health Care Resources (by Peter Campos)
History of Statistics (by Peter Lee)
IDEAS (Economics Working Papers)
Index to Math Subject Classification
Inflation Calculator
INFOMINE
INFORMS Section on Applied Probability
Inomics: The Internet Site for Economists
Institute of Mathematical Statistics
Interactive Statistical Calculations
Interactive tutorial: Animations
International Directory of Finance and Economics Professionals (by Ivo Welch)
JavaScript Applets for Statistics and Probability, Europe Mirror Site.
JEL Classification-I
JEL Classification-II
Journals Publishers Links
Kolmogorov-Smirnov Test
Literature on Statistical Topics
Marketing Research Resources
Markov Chains
Markov Chain Monte Carlo Preprint Server (by Steve Brooks)
Martindale's Reference Desk
MATH & STATISTICS LINKS
Mathematical Statistics and Operational Research
Mathematical Statistics Preprints
Mathematics Archive
Mathematik (by Peter Krahmer)
Maths & Stats Links
Maths, Stats & OR Network
Math World
M/M Queues (by Ken Vastola)
M/M/1 Waiting Line
Mixture Modelling page (by David Dowe)
Multiple Imputation
National Academic Mailing List Service
Neuroimaging Resources (by A. Shackman)
Network Bibliography
Networked Computer Science Technical Reference Library
Nursing Study
Nonparametric Estimation (by Luc Devroye)
Online Analysis of Data
Online Software for Clustering
Online Statistical computation
Online Statistical Textbooks and Courses
Option Valuation (by Campbell Harvey)
Ordination Methods (by Mike Palmer)
Other Bibliographies on Mathematics
Paired Data Sets Statistics
Political Economy Terms (by Paul Johnson)
Principia Cybernetica Web
Priority Queues (by Lee Killough)
Probabilistic Modeling Process: Decision Analysis, Europe Mirror Site, Versión en Español.
Probability and Statistics (by Bruno Kevius)
Probability Web
Programación Estocastica (by Ramon Sala-Garrido)
Public Health (by Betty Jung)
Publishers Around the World| Publishers (search)| Publishers and Journals| Publishers-Math| Publishers-Archive|
P-values
Questionnaire Design and Surveys Sampling, Europe Mirror Site.
Queueing Theory Page (by Myron Hlynka)
Real Options in Investments
Resampling: Philosophy and Practice
Quantitative Marketing
Resources in Research (by John Reinard)
Risk Theory (by Arcady Novosyolov)
SCG Newsletter
SciCentral
Science Bibliographies
Search (Statistics Newsgroups)
SIAM Search
Sociology and Statistics
Software Providers
Spatial Statistical Sites
SSE Research in Economic Statistics
Statcodes
Statistical Analysis Software Survey
Topics in Statistical Data Analysis, Europe Mirror Site.
Statistical Data on the Web
Statistical Glossary
Statistical Journals
Statistical Links
Statistical List Subscription Service
Statistical Science Web
Statistical Tools and Resources
Statistical Training on the Web
|Statisticians (Italy)|Statisticians (StatLib)| Statisticians (UK)| Statisticians (by Rainer Würländer)|
Statistics (by Conlon, M.)
Statistics (by Michael Parkinson)
Statistics & Social Science
Statistics Around the World
Statistics, Calculations, and Research Design Sites
Statistics Course Fully-online
Statistics Education Links
Statistics Glossary
Statistics Links (Koeln Univ.)
Statistics Network
Statistics on the Web (by Clay Helberg)
Statistics Related Links
Statistics, Statistical Computing, and Mathematics (by Phil Burns)
Statistics Teaching
Statistics to Use
Stochastic Processes with Focus in Petroleum Applications
Stochastic Programming Community
Subject Area Pages
Survey Methodology
System Simulation, Europe Mirror Site, South Africa Mirror Site .
Teaching Resources
Testing the Mean
Testing the Variance: Is the Quality that Good?
Test for Homogeneity of Population
Test for Normality
Test for Randomness
Tests for Random Numbers
Time Series Analysis and Forecasting Techniques, Europe Mirror Site.
UK Statisticians
University Research Libraries in the UK and Ireland
Visualization of Data
Wavelet (by Amara Graps)
World Lecture Hall (Statistics)
Yahoo:Statistics
Zero Saga & Confusions with Numbers, Europe Mirror Site.
Interesting and Useful Sites (topical category)
Review of Statistical Tools on the Internet
General References
Statistical Societies & Organizations
Statistics References
Statistics Resources
Probability Resources
Data and Data Analysis
Questionnaire Design, Surveys Sampling and Analysis
Statistical Software
Learning Statistics
Econometric and Forecasting
Selected Topics
Glossary Collections Sites
Statistical Tables
Annotated Review of Statistical Tools on the Internet
Introduction: Modern, web-based learning and computing provides the means for fundamentally changing the way in which statistical instruction is delivered to students. Multimedia learning resources combined with CD-ROMs and workbooks attempt to explore the essential concepts of a course by using the full pedagogical power of multimedia. Many Web sites have nice features such as interactive examples, animation, video, narrative, and written text. These web sites are designed to provide students with a "self-help" learning resource to complement the traditional textbook.
In a few pilot studies, [Mann, B. (1997) Evaluation of Presentation modalities in a hypermedia system, Computers & Education, 28, 133-143. Ward M. and D. Newlands (1998) Use of the Web in undergraduate teaching, Computers & Education, 31, 171-184.] compared the relative effectiveness of three versions of hypermedia systems, namely, Text, Sound/Text, and Sound. The results indicate that those working with Sound could focus their attention on the critical information. Those working with the Text and Sound/Text version however, did not learn as much and stated their displeasure with reading so much text from the screen. Based on this study, it is clear at least at this time that such web-based innovations cannot serve as an adequate substitute for face-to-face live instruction [See also Mcintyre D., and F. Wolff, An experiment with WWW interactive learning in university education, Computers & Education, 31, 255-264, 1998].
Online learning education does for knowledge what just-in-time delivery does for manufacturing: It delivers the right tools and parts when you need them.
The Java applets are probably the most phenomenal way of simplifying various concepts by way of interactive processes. These applets help bring into life every concept from central limit theorem to interactive random games and multimedia applications.
The Flashlight Project develops survey items, interview plans, cost analysis methods, and other procedures that institutions can use to monitor the success of educational strategies that use technology.
Read also, Critical notice: we are blessed with the emergence of the WWW? Edited by B. Khan, and R. Goodfellow, Computers and Education, 30(1-2), 131-136, 1998.
The following compilation summarizes currently available public domain web sites offering statistical instructional material. While some sites may have been missed, I feel that this listing is fully representative. I would welcome information regarding any further sites for inclusion, E-mail. Basic Definitions, by V. Easton and J. McColl, Contains glossary of basic terms and concepts.
Basic principles of statistical analysis, by Bob Baker, Basics concepts of statistical models, Mixed model, Choosing between fixed and random effects, Estimating variances and covariance, Estimating fixed effects, Predicting random effects, nference space, Conclusions, Some references.
Calculus Applied to Probability and Statistics for Liberal Arts and Business Majors, by Stefan Waner and Steven Costenoble, contains: Continuous Random Variables and Histograms; Probability Density Functions; Mean, Median, Variance and Standard Deviation.
Data and Story Library, It is an online library of datafiles and stories that illustrate the use of basic statistics methods.
Descriptive Statistics Computation, Enter a column of your data so that the mean, standard deviation, etc. will be calculated.
Elementary Statistics Interactive, by Wlodzimierz Bryc, Interactive exercises, including links to further reading materials, includes on-line tests.
Fisher's Exact Test, by Øyvind Langsrud, To categorical variables with two levels.
HyperStat Online, by David Lane. It is an introductory-level statistics book.
Interactive Statistics, Contains some nice Java applets: guessing correlations, scatterplots, Data Applet, etc.
Interactive Statistics Page, by John Pezzullo, Web pages that perform mostly needed statistical calculations. A complete collection on: Calculators, Tables, Descriptives, Comparisons, Cross-Tabs, Regression, Other Tests, Power&Size, Specialized, Textbooks, Other Stats Pages.
Introduction to Quantitative Methods, by Gene Glass. A basic statistics course in the College of Education at Arizona State University.
Introductory Statistics Demonstrations, Topics such as Variance and Standard Deviation, Z-Scores, Z-Scores and Probability, Sampling Distributions, Standard Error, Standard Error and Z-score Hypothesis Testing, Confidence Intervals, and Power.
The Introductory Statistics Course: A New Approach, by D. Macnaughton. Some students frequently view statistics as the worst course taken in college. To address that problem, this paper proposes five concepts for discussion at the beginning of an introductory course: (1) entities, (2) properties of entities, (3) a goal of science: to predict and control the values of properties of entities, (4) relationships between properties of entities as a key to prediction and control, and (5) statistical techniques for studying relationships between properties of entities as a means to prediction and control. It is argued that the proposed approach gives students a lasting appreciation of the vital role of the field of statistics in scientific research. Successful testing of the approach in three courses is summarized.
Java Applets, by many contributors. Distributions, Area Under Normal Curves, Z Scores & the Normal Distribution. Probability & Stochastic Processes, ANOVA, Confidence Intervals, Regression, Spearman's rank correlation, T-test, Simple Least-Squares Regression, and Discriminant Analysis.
Online Statistical Textbooks, by Haiko Lüpsen.
Power Analysis for ANOVA Designs, by Michael Friendly, It runs a SAS program that calculates power or sample size needed to attain a given power for one effect in a factorial ANOVA design. The program is based on specifying Effect Size in terms of the range of treatment means, and calculating the minimum power, or maximum required sample size.
Practice Questions for Business Statistics, by Brian Schott, Over 800 statistics quiz questions for introduction to business statistics.
Prentice Hall Statistics, This site contains full description of the materials covers in the following books coauthored by Prof. McClave: A First Course In Statistics, Statistics, Statistics For Business And Economics, A First Course In Business Statistics.
Probability Lessons, Interactive probability lessons for problem-solving and actively.
Probability Theory: The logic of Science, by E. Jaynes. Plausible Reasoning, The Cox Theorems, Elementary Sampling Theory, Queer Uses for Probability Theory, The Entropy Principle, Ignorance Priors -- Transformation Groups, Decision Theory: Historical Survey, Orthodox Statistics: Historical Background, Principles and Pathology of Orthodox Statistics, Time Series Analysis and Auto regressive Models, Spectrum / Shape Analysis, Model Comparison and Robustness, and Computer Programs.
Rice Virtual Lab in Statistics, by David Lane et al., An introductory statistics course which uses Java script Monte Carlo.
Sampling distribution demo, by David Lane, Applet estimates and plots the sampling distribution of various statistics given population distribution, sample size, and statistic.
Simple Regression, Enter pairs of data so that a line, or curve can be fit to the data.
Some experimental pages for teaching statistics, by Juha Puranen, contains some - different methods for visualizing statistical phenomena, such as Power and Box-Cox transformations.
SPSS Tools, by Raynald Levesque, An SPSS dedicated web site includes more than 525 free sample syntax, macros and scripts classified by purpose as well as Tips, FAQs, tutorials and a Newbie's Corner.
Statlets: Download Academic Version (Free), Contains Java Applets for Plots, Summarize, One and two-Sample Analysis, Analysis of Variance, Regression Analysis, Time Series Analysis, Rates and Proportions, and Quality Control.
Statistical Analysis Tools, Part of Computation Tools of Hyperstat.
Statistical Demos and Monte Carlo, Provides demos for Sampling Distribution Simulation, Normal Approximation to the Binomial Distribution, and A "Small" Effect Size Can Make a Large Difference.
Statistical Education Resource Kit, by Laura Simon, This web page contains a collection of resources used by faculty in Penn State's Department of Statistics in teaching a broad range of statistics courses.
Statistical Calculators, Presided at UCLA, Material here includes: Power Calculator, Statistical Tables, Regression and GLM Calculator, Two Sample Test Calculator, Correlation and Regression Calculator, and CDF/PDF Calculators.
Statistical Home Page, by David C. Howell, This is a Home Page containing statistical material covered in the author's textbooks (Statistical Methods for Psychology and Fundamental Statistics for the Behavioral Sciences), but it will be useful to others not using those book. It is always under construction.
Statistics, This server will perform some elementary statistical tests on your data. Test included are Sign Test, McNemar's Test, Wilcoxon Matched-Pairs Signed-Ranks Test, Student-t test for one sample, Two-Sample tests, Median Test, Binomial proportions, Wilcoxon Test, Student-t test for two samples, Multiple-Sample tests, Friedman Test, Correlations, Rank Correlation coefficient, Correlation coefficient, Comparing Correlation coefficients.
Statistics Homepage, by StatSoft Co., Complete coverage of almost all topics
Statistics: The Study of Stability in Variation, Editor: Jan de Leeuw. It has components which can be used on all levels of statistics teaching. It is disguised as an introductory textbook, perhaps, but many parts are completely unsuitable for introductory teaching. Its contents are Introduction, Analysis of a Single Variable, Analysis of a Pair of Variables, and Analysis of Multi-variables.
Statistics Every Writer Should Know, by Robert Niles and Laurie Niles. Treatment of elementary concepts.
Statistics Glossary, by V. Easton and J. McColl, Alphabetical index of all major keywords and phrases
Statistics on the Web, by Clay Helberg, Just as the Web itself seems to have unlimited resources, Statistics on the web must have hundreds of sites listing such statistical areas as: Professional Organizations, Institutes and Consulting Groups, Educational Resources, Web courses, and others too numerous to mention. One could literally shop all day finding the joys and treasures of Statistics!
Statistics To Use, by T. Kirkman, Among others it contains computations on: Mean, Standard Deviation, etc., Student's t-Tests, chi-square distribution test, contingency tables, Fisher Exact Test, ANOVA, Ordinary Least Squares, Ordinary Least Squares with Plot option, Beyond Ordinary Least Squares, and Fit to data with errors in both coordinates.
Tables, by William Knight, Tables for: Confidence Intervals for the Median, Binomial Coefficients, Normal, T, Chi-Square, F, and other distributions.
SURFSTAT Australia, by Keith Dear. Summarizing and Presenting Data, Producing Data, Variation and Probability, Statistical Inference, Control Charts.
UCLA Statistics, by Jan de Leeuw, On-line introductory textbook with datasets, Lispstat archive, datasets, and live on-line calculators for most distributions and equations.
WWW Resources for Teaching Statistics, by Robin Lock.
Interesting and Useful Sites
General References| The MBA Page | What is OPRE? | Desk Reference| Another Desk Reference | Spreadsheets | Contacts to Statisticians | Statistics Departments (by country) | World Lecture Hall | Virtual Library | TILE.NET | CataList|
Statistics References| Conferences | Statistical List Subscription | Edstat-L | Stat-L | Stat Discussion Group | List Servers | Math Forum Search | Statistics Journals | Journal Web Sites|
Statistical Societies & Organizations
- American Statistical Association (ASA)
- Applied Probability Trust
- Biomathematics and Statistics Scotland
- Center for Statistical and Mathematical Computing
- Classification Society of North America
- International Association for Statistical Computing
- International Biometric Society
- International Environmetric Society
- International Society for Bayesian Analysis
- International Statistical Institute
- RAND Statistics Group
- Statistical Engineering Division
Statistics Resources| Statistics Main Resources | Statistics.Com | STATS | Mathematical and Quantitative Methods | StatServ | WWW Resources | StatLib: Statistics Library | Stat Links | Use and Abuse of Statistics | Statistical Links | Statistics Related Links | Statistics Resources | OnLine Text Books|
Probability Resources|Probability | Probability & Statistics |Virtual Laboratories in Probability and Statistics |The Probability Web |Bayes' Revised Probability Applet |Coin Flipping |Java Applets on Probability |Topics in Probability |PQRS Probability Plot|
Data and Data Analysis|Chi-square Test for Crosstable Relationship |Computational Statistics for Multinomial Distributions |Goodness-of-Fit Test for Discrete Random Variables |Kolmogorov-Smirnov Test |Mean, Standard Deviation, & Coefficient of Variation |MultiVariate Statistics: Mean, Variance, & Covariance |Test for Homogeneity |Test for Normality |Test for Randomness |Testing the Mean |Testing the Variance: Is the Quality that Good? | Topics in Statistical Data Analysis | Exploring Data |A Basic Scientific Calculator|
Statistical Software| Web Pages that Perform Statistical Calculations | Statistical Software Providers| Martindale's Reference Desk |Statistical Calculators on Web |Online statistical computation | Statistical Software |NCSS Statistical Software | Choosing a Statistical Analysis Package| Descriptive Statistics by Spreadsheet| Statistics with Microsoft Excel|
Learning Statistics| Statistics Education | Statistics & Decision Sciences | Statistics|
Glossary CollectionsThe following sites provide a wide range of keywords & phrases. Visit them frequently to learn the language of statisticians.
|Statistics Glossary | SurfStat glossary|
Selected Topics
|Regression | Topics in Statistics-I | Topics in Statistics-II | Statistical Topics | Resampling | Statistics and Computing | Biomathematics and Statistics | Introduction to Biostatistics Bartlett Corrections | Statistical Planning | Regression Analysis | Analysis of Variance and Covariance | Significance Testing | Hypothesis Testing | Commentaries on Significance Testing | Bayesian|
Questionnaire Design, Surveys Sampling and Analysis|Questionnaire Design and Statistical Data Analysis |Summary of Survey Analysis Software | Sampling, Questionnaire Distribution and Interviewing |Survey Software |Multilevel Models Project|
Econometric and Forecasting|Principles of Forecasting | Econometric Links | RFE: Resources for Economists | Business & Economics Scout Reports | Journal of Forecasting | Economics and Teaching |Box-Jenkins Methodology |
Statistical Tables
The following Web sites provide critical values useful in statistical testing and construction of confidence intervals. The results are identical to those given in almost all textbook. However, in most cases they are more extensive (therefore more accurate).|Normal Probability Calculation
Advances in Engineering Software
Journal Web Sites
Allgemeines Statistisches Archiv
American Journal of Epidemiology
American Mathematical Monthly
American Mathematical Society Journals
American Statistical Association Journals
Annales de l'Institut Henri Poincaré (B) Probability and Statistics
Annals of the Institute of Statistical Mathematics
Applied Mathematics and Computation
Applied Statistics algorithms
Applied Stochastic Models and Data Analysis
Asia-Pacific Journal of Operational Research
Astronomy & Astrophysics: A European Journal
Australian & New Zealand Journal of Statistics
Biological Conservation
Biometrical Journal
Biometrika
British Medical Journal
Building Research & Information
Canadian Journal of Statistics
Chemometrics and Intelligent Laboratory Systems
Cluster Computing
Communications in Statistics A, and B
Communications in Statistics: Stochastic Models
Computational Economics
Computational Materials Science
Computational Mathematics and Modeling
Computational Statistics
Computational Statistics & Data Analysis
Computer Methods and Programs in Biomedicine
Computer Physics Communications
Computers & Geosciences
Computers & Graphics
Computers & Industrial Engineering
Computers & Mathematics with Applications
Computers and Operations Research
Computers, Environment and Urban Systems
Computers in Human Behavior
Comptes Rendus de l'Académie des Sciences - Series I - Mathematics
Connections
Decision and Reasoning under Uncertainty
Decision Sciences Journal
Ecological Modelling
Econometrica
Econometric Reviews
Econometrics Journal
Economic Modelling
Electronic Transactions on Artificial Intelligence
Engineering Computations
Environmental and Ecological Statistics
Environmental Modelling & Software
Environmetrics
Extremes: Statistical Theory and Applications in Science and Engineering
Finance and Stochastics
Fuzzy Sets and Systems
IEEE Transactions on Reliability
IMS Bulletin
Information Processing Letters
Information Processing & Management
Information Sciences
Insurance: Mathematics and Economics
Intelligent Data Analysis
Intelligent Systems in Accounting Finance and Management
International Journal of Epidemiology
International Journal of Forecasting
International Journal of Medical Informatics
International Journal of Modelling and Algorithms
International Journal of Production Economics
International Journal of Quality & Reliability Management
International Statistical Review
Interstat - Statistics on the Internet
Journal of Applied Econometrics
Journal of Applied Mathematics & Decision Sciences
Journal of Applied Statistics
Journal of Biopharmaceutical Statistics
Journal of Business and Economic Statistics
Journal of Chemometrics
Journal of Classification
Journal of Combinatorial Designs
Journal of Computational and Graphical Statistics
Journal of Econometrics
Journal of Economic Behavior & Organization
Journal of Economic Dynamics and Control
Journal of Environmental Dynamics
Journal of Financial and Quantitative Analysis
Journal of Forecasting
Journal of Hydrology
Journal of Interdisciplinary Mathematics
Journal of Mathematical Biology
Journal of Mathematical Economics
Journal of Multivariate Analysis
Journal of Management in Medicine
Journal of Nonparametric Statistics
Journal of Revenue & Pricing Management
Journal of Royal Statistical Society: Series A (Statistics in Society)
Journal of Royal Statistical Society: Series B (Methodological)
Journal of Royal Statistical Society: Series C (Applied Statistics)
Journal of Royal Statistical Society: Series D (The Statistician)
Journal of Solid Waste Technology and Management
Journal of Statistical Computation and Simulation
Journal of Statistical Planning and Inference
Journal of Statistics & Management Systems
Journal of Theoretical Probability
Journal of Time Series Analysis
Journal of Vegetation Science
Journals of the American Statistical Association
Lifetime Data Analysis
Manchester School
Mathematical Biosciences
Mathematical Social Sciences
Mathematics and Computers in Simulation
Methodology and Computing in Applied Probability
Metrika
Microelectronics and Reliability
Numerische Mathematik
Oxford Bulletin of Economics & Statistics
Pattern Recognition
Pharmaceutical Statistics: The Journal for Applied Statisticians in the Pharmaceutical Industry
Plus Magazine
Probabilistic Engineering Mechanics
Probability Theory and Related Fields
Process Control and Quality
Psychological Methods
Psychometrika
Quality and Reliability Engineering International
Random Operators and Stochastic Equations
Random Structures and Algorithms
Reliability Engineering & System Safety
Researches on Population Ecology
Review of Economics and Statistics
Review of Marketing Science
Risk Analysis
Russian Journal of Numerical Analysis and Mathematical Modelling
Scandinavian Journal of Statistics
Sequential Analysis
SIAM Journal on Scientific Computing
SIAM Journals
SIGNIFICANCE
Social Networks
Socio-Economic Planning Sciences
Sociological Methods and Research
Spatial Vision
Spreadsheet User
Springer Journals in Statistics
Stata Technical Bulletin
Statistica Neerlandica
Statistical Assessment Service
Statistics Education Research Journal
Statistical Inference for Stochastic Processes
Statistical Methods in Medical Research
Statistical Modelling: An International Journal
Statistical Papers
Statistical Science
STATISTICS: A Journal of Theoretical and Applied Statistics
Statistics and Computing
Statistics & Probability Letters
Statistics in Medicine
Statistics in Society
STATS: The Magazine for Students of Statistics
Stochastics
Stochastic Analysis and Applications
Stochastics and Stochastics Reports
Stochastic Environmental Research and Risk Assessment
Stochastic Hydrology and Hydraulics
Stochastic Processes and their Applications
Studies in Nonlinear Dynamics and Econometrics
Technometrics
Theoretical Population Biology
Theory and Decision: An International Journal for Methods and Models in the Social and Decision Sciences
Theory of Probability and its Applications
The Statistician
Uncertainty in Artificial Intelligence
Videre: A Journal of Computer Vision Research
ACM SIGACT
Societies & Organizations
American Mathematical Society
American Statistical Association
Austrian Statistical Society
Baystat
Biomathematics and Statistics Scotland
Center for Applied Probability at Columbia
Center for Statistical and Mathematical Computing
Classification Society of North America
Community of Science
Danish Society for Applied Statistics
Decision Sciences Institute (DSI)
Federal Geographic Data
International Association for Statistical Computing
International Environmetric Society
International Society for Bayesian Analysis Bulletin
International Statistical Institute
ISI Committee for Statistics in Business and Industry
Japan Statistical Society
Los Alamos National Laboratory
National Spatial Data
Netherlands Society for Statistics and OR
New Zealand Statistical Association
RAND Statistics Group
Royal Statistical Society
Scholarly Societies
Société Française de la Statistique
Society for Risk Analysis
Statistical Engineering Division
Journal Articles Abdallah H., and Marie R., The uniformized power method for transient solutions of Markov-processes, Computers and Operations Research, 20, 515-526, 1993.
Abraham B., and U. Nair, On characterizing mixtures of some life distributions, Statistical Papers, 42, 387-393, 2001.
Adler R., R. Feldman, and M. Taqqu, (Editors), A Practical Guide to Heavy Tails Statistical Techniques and Applications, Birkhauser, 1998.
Aggarwala R., Some properties of progressive censored order statistics from arbitrary and uniform distributions with applications to inference and simulation, Journal of Statistical Planning and Inference, 70, 1998, 35-49.
Agresti A., Applying R2 type measures to ordered categorical data, Technometrics, 28, 1986, 133-138.
Ahmad I., Goodness-of-fit statistics based on weighted Lp-functionals, Statistics & Probability Letters, 35, 1997, 261-269.
Ahmad I., Modification of some goodness of fit statistics II: two-sample and symmetry testing, Sankhya, A, 58, 1996, 464.
Ahmad M., S. Alalouf, and Y. Chaubey, Estimation of the population total when the population size is unknown, Statistics and Probability Letters, 49, 211-216, 2000.
Ahmed S., Improved biased estimation in an ANOVA model, Linear Algebra and Its Applications, 289, 3-24, 1999.
Ahmed S., Simultaneous estimation of coefficients of variation, Journal of Statistical Planning and Inference, 104, 31-51, 2002.
Aitchison, J., A calibration problem in statistical diagnosis: The clinical amalgamation problem, Biometrika, 66, 357-366, 1979.
Akritas A., Fully nonparametric hypotheses for factorial designs, JASA, 89, 336-343, 1994.
Alam M., and Mani V., Recursive solution technique in a multi-server bi-level queuing system with server breakdowns, IEEE Transactions on Reliability, 38, 416-421, 1989.
Alba M., D. Barrera, and M. Jimenez, A homogeneity test based on empirical characteristic functions, Computational Statistics, 16, 255-270, 2001.
Albano, A., Rapp, P., and Passamante, A., Kolmogorov-Smirnov test distinguishes attractors with similar dimensions, Physical Review: Statistical Physics, Plasm., 1995, 52, 196-199.
Albin J., A note on Rosenblatt distributions, Statistics & Probability Letters, 40, 83-91, 1998.
Alcala' J., Goodness-of-fit test for linear models based on local polynomials, Statistics & Probability Letters, 42, 39-46, 1999.
Ali N., and M. Singh, An alternative estimator in inverse linear regression, J. Statist. Comp. Simul., 14, 1-15, 1981.
Alioum A, Commenges D, A proportional hazards model for arbitrarily censored and truncated data, Biometrics, 52, 512-524, 1996.
Altman D., and B. De Stavola, Practical problems in fitting a proportional hazards model to data with updated measurements of the covariates, Statistics in Medicine, 13, 1994, 301-41.
Amman H., and D. Kendrick, Computing the steady state of linear quadratic optimization models with rational expectations, Economics Letters, 58, 1998, 185-191.
An H., and C. Bing, A Kolmogorov-Smirnov type statistic with application to test for nonlinearity in time series, International Statistical Review, 1991, 59, 287
Andersen P., Ronn B., A nonparametric test for comparing two samples where all observations are either left- or right-censored, Biometrics, 51, 323-329, 1995.
Anderson T., and D. Darling, Asymptotic theory of certain "goodness of fit" criteria based on stochastic processes, Annals of Mathematical Statistic, 23, 193-212, 1952.
Andrés A., and I. Tejedor, On the minimum expected quantity for the validity of the chi-squared test in 2 x 2 tables, Journal of Applied Statistics, 27, 807-820, 2000.
Angus J., A note on the central limit theorem for the bootstrap mean, Comm. Statistics, Theory and Methods, 18, 1979-1982, 1989.
Anselin L., and S. Hudak, Spatial econometrics in practice, Regional Science and Urban Economics, 22, 539-558, 1992. Analyzing space-time data.
Arsham H., The Hodrich-Prescot Filter and Its Applications, in the Encyclopedia of Biostatistics, 2nd ed., Wiley, 2003.
Arsham H., Nonparametric reliability estimation based on a few ordered observations, The Australian Journal of Statistics, 30, 67-76, 1988.
Arsham H., Generalized K-S confidence regions: Some exact results, Journal of Statistical Computation and Simulation, 25, 9-23, 1986.
Arsham H., An improved lower bound for the right-tail of the reliability function under a type-two censoring plan, Journal of Microelectronics and Reliability, 33, 2031-2038, 1993.
Arsham H., A modified one-sided K-S confidence region narrower in one tail, Communications in Statistics: Theory and Methods, 16, 17-28, 1987.
Arsham H., Modified K-S confidence regions narrower in one tail, Computational Statistics , 5, 137-149, 1989.
Arsham H., A test sensitive to extreme hidden periodicities, Journal of Stochastic Hydrology and Hydraulics, 11, 323-330, 1997.
Arsham H., Confidence regions having different shapes for the failure distribution function, Journal of Microelectronics and Reliability, 36,1439-1457, 1996.
Arsham H., A Markovian model of consumer buying behavior and optimal advertising pulsing policy, Journal of Computers and Operations Research, 20, 35-48, 1993.
Arsham H., Kuiper's P-value as a measuring tool and decision procedure for the goodness-of-fit test, Journal of Applied Statistics, 15, 131-135, 1988.
Arsham H., A stochastic model of optimal advertising pulsing policy, Journal of Computers and Operations Research, 14, 231-239, 1987.
Arsham H., A generalized confidence region for stress-strength reliability, IEEE Transactions on Reliability, 35, 586-589, 1986.
Arsham H., Seasonal and cyclic forecasting in small firm, American Journal of Small Business, 9, 46-57, 1985.
Arsham H., Balana, A., and D. Gross, Numerical methods for transient solutions of machine repair problems, Journal of Computers and Industrial Engineering, 7, 149-157, 1983.
Arsham H., and D. Miller, A Poisson process approximation for generalized K-S confidence regions, Journal of Statistica Neerlandica, 39, 291-302, 1985.
Atar R., Large deviations and queueing networks: methods for rate function identification, Stochastic Processes and their Applications, 84, 255-296, 1999.
Augustin T., Expected utility within a generalized concept of probability - a comprehensive framework for decision making under ambiguity, Statistical Papers, 43, 5-22, 2002.
Baccelli F., A. Borovkov, and J. Mairesse, Asymptotic results on infinite tandem queueing networks, Probability Theory Relat Fields, 118, 365-405, 2000.
Baddeley A., and R. Gill, Kaplan-Meier estimators for inter-point distance distributions of spatial point processes, Annals of Statistics, 25, 263-292, 1997.
Baddeley A., and M. van Lieshout, Area-interaction point processes, Annals of the Institute of Statistical Mathematics, 1995, 47, 601-619.
Baddeley A., and M. van Lieshout, A non-parametric measure of spatial interaction in point patterns, Statistica Neerlandica, 1997, 50, 344-361.
Bai J., and P. Perron, Testing for and estimation of multiple structural changes, Econometrica, 66, 47-79, 1998.
Bai J., R. Lumsdaine, and H. Stock, 1997, Testing for and dating common breaks in multivariate time series, Review of Economic Studies, 65, 395-432, 1997.
Bai Z., A paradox in least-squares estimation of linear regression models, Statistics & Probability Letters, 42, 167-174, 1999.
Bai Z., Model selection with data-oriented penalty, Journal of Statistical Planning and Inference, 77, 103-117, 1999.
Ball F., R. Milne and G. Yeo, Continuous time Markov chains in a random environment, with application to ion channel modelling, Adv. Appl. Prob., 1994, 26, 919-946.
Bandyopadhyay U., and A. Biswas, Sequential-type nonparametric test using Mann-Whitney statistics, Journal of Applied Statistics, 26, 301-308, 1999.
Bansal N., Some characterizations of the normal distribution, Statistics & Probability Letters, 42, 393-400, 1999.
Barchard K., and A. Hakstian, The robustness of confidence intervals for coefficient alpha under violations of the assumption of essential parallelism, Multivariate Behavioral Research, 32, 1997, 169-191.
Bardina X., M. Jolis and C. Rovira, Weak approximation of the Wiener process from a Poisson process: The multidimensional parameter set case, Statistics & Probability Letters, 50, 245-255, 2000.
Barlow R., and F. Proschan, Importance of system components and fault tree events, Stochastic Processes and their Applications, 3, 153-173, 1975.
Bartlett, M.S., A further note on tests of significance in factor analysis, British Journal of Psychology, 4, 1-2, 1951.
Bartoszynski R., D. Pearl, and J. Lawrence, A multidimensional goodness-of-fit test based on interpoint distances, JASA, 92, 1997, 577.
Basak I., Comparison of statistical procedures in analytic hierarchy process using a ranking test, Mathematical and Computer Modelling, 28, 105-118, 1998.
Basu A., On darling-Robbins type confidence sequences and sequential tests with power one for parameters of autoregressive process, Statistics and Probability Letters, 45, 205-214, 1999.
Batabyal A.., and, H. Beladi, The stability of stochastic systems: the case of persistence and resilience, Mathematical and Computer Modelling, 30, 27-34, 1999.
Beals E., Bray-Curtis ordination: an effective strategy for analysis of multivariate ecological data, Adv. Ecol. Res., 14, 1-55, 1984.
Behrends E., On the conditional expectation E(X|X+W) in the case of independent random variables X,W, Statistics & Probability Letters, 41, 397-400, 1999.
Behrens J., Principles and procedures of exploratory data analysis, Psychological Methods, 2, 131-160, 1997.
Beirlant J., On the impossibility of estimating densities in the extreme tail, Statistics & Probability Letters, 43, 57-64, 1999.
Benner R., Contributions to survival analysis, Doctoral Dissertation, Iowa State University, 1998.
Benson Y., and Y. Nikitin, On conditions of Bahadur local asymptotic optimality of weighted Kolmogorov-Smirnov statistics, Journal of Mathematical Sciences, 1995, 75, 1884
Benton T., D. Hand, and M. Crowder, Two Z's are better than one, Journal of Applied Statistics, 31, 239 - 247, 2004.
Berger J., and T. Sellke, Testing a point null hypothesis: The inconcilability of P values and evidence, JASA, 82, 1987, 112-116.
Berger Y., Rate of convergence for asymptotic variance of the Horvitz-Thompson estimator, Journal of Statistical Planning and Inference, l 74, 149-168, 1998.
Berkes I., and E. Csaki, A universal result in almost sure central limit theory, Stochastic Processes and their Applications, 94, 105-134, 2001.
Bhatt A., and R. Karandikar, Robustness of the nonlinear filter: the correlated case, Stochastic Processes and their Applications, 97, 41-58, 2001.
Bhat B., Bayesian analysis for finite Markov chains, Journal of Statistical Planning and Inference, 81, 335-348, 1999.
Bickel D., Robust estimators of the mode and skewness of continuous data, Computational Statistics and Data Analysis, 39, 153-163, 2002.
Bieber S., A hierarchical approach to multigroup factorial invariance, J. of Classification, 3, 1986, 113-134.
Birnbaum Z., and F. Tingey, One-sided confidence contours for probability distribution functions, Annals of Mathematical Statistics, 22, 1951, 592-596.
Bischoff W., E. Hashorva, J. Husler, and F. Miller, On the power of the Kolmogorov test to detect the trend of a Brownian bridge with applications to a change-point problem in regression models, Statistics and Probability Letters, 66, 105-115, 2004.
Bocker J., and M. Bryson, Decision analysis in project management: An overview, IEEE Tram. Eng. Manag., EM-32, 3-9, 1985.
Bollerslev T., R. Chou, and K. Kroner, ARCH modelling in finance: A review of the theory and empirical evidence, Journal of Econometrics, 52, 5-59, 1992.
Bonett D., and E. Seierb, A test of normality with high uniform power, Computational Statistics & Data Analysis, 40, 435-445, 2002.
Boots B., and D. Murdoch, The spatial arrangement of random Voronoi polygons, Computers & Geosciences, 9, 1983, 351-365.
Bora H., et al., Goodness-of-fit tests for the Cauchy distribution, Computational Statistics 16, 97-107, 2001.
Borisov I., A note on Poisson approximation of rescaled set-indexed empirical processes, Statistics and Probability Letters, 46, 101-103, 1999.
Borkowf C., A new nonparametric method for variance estimation and confidence interval construction for Spearman's rank correlation, Computational Statistics and Data Analysis, 34, 219-241, 2000.
Bosch R., Generalized Poisson models arising from Markov processes, Statistics and Probability Letters, 39, 1998, 205-212.
Boucherie R., Boxma O., and K. Sigman, A note on negative customers, GI/G/ workload, and risk processes, Probability in the Engineering and Informational Sciences, 10, 305-311, 1997.
Boulerice B., and G. Ducharme, Smooth tests of goodness-of-fit for directional and axial data, Journal of Multivariate Analysis, 60, 1997, 154.
Bowman A., and P. Foster, Adaptive smoothing and density-based tests of multivariate normality, Journal of the American Statistical Association, 88, 529-537, 1993.
Bradley D.R., Multivariate simulation with DATASIM: The Mihal and Barrett study, Behavior Research Methods, Instruments, & Computers, 1993, 25, 148-163.
Braithwaite V., Beyond Rokeach's equality-freedom model: Two dimensional values in a one dimensional world, Journal of Social Issues, 1994, 50, 67-94.
Braithwaite V. and H. Law, The structure of human values: Testing the adequacy of the Rokeach value survey, Journal of Personality and Social Psychology, 49, 250-263, 1985.
Braverman M., Suprema of compound Poisson processes with light tails, Stochastic Processes and their Applications, 90, 145-156, 2000.
Brillinger D., L. Fernholz, and S. Morgenthaler, (Eds.), The Practice of Data Analysis, Princeton University Press, 1997.
Bring J., A geometric approach to compare variables in a regression model, The American Statistician, 50, 57-62, 1996.
Brown M., and A. Forsythe, Robust test for equality of variances: Modified Levene's test, Journal of the American Statistical Association, 69, 1974, 364-367.
Bueso M., J. Angulo, G. Qian, and F. Alonso , Spatial sampling design based on stochastic complexity, Journal of Multivariate Analysis, 71, 94-110, 1999.
Büning H., An adaptive distribution-free test for the general two-sample problem, Computational Statistics, 17, 297-313, 2002.
Burke M., Multivariate tests-of-fit and uniform confidence bands using a weighted bootstrap, Statistics and Probability Letters, 46, 13-20, 1999.
Cabana A., Transformations of the empirical measure and Kolmogorov-Smirnov tests, The Annals of Statistics, 1996, 24, 2020
Cabana A., and E. Cabana, Goodness-of-fit and comparison tests of the Kolmogorov-Smirnov type for bivariate populations, The Annals of Statistics, 1994, 22, 1447
Cabana A., and E. Cabana, Bridge-to-bridge transformations and Kolmogorov-Smirnov tests, Communications in Statistics: Theory and Method, 1996, 25, 227-234.
Cabana E., Modified Kolmogorov-Smirnov tests for isotropic distributions in the plane, Sankhya, Series A, 1996, 58, 3
Cai Z., and G. Roussas, Kaplan-Meier estimator under association, J. Multivariate Anal., 67, 318-348, 1998.
Calitz F., An alternative to the Kolmogorov-Smirnov test for goodness of fit, Commun. Statist.: Theory Meth., 16, 3519-3534, 1987.
Campbell M., Julious S., and D., Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons, British Medical Journal, 311, 1145-1148, 1995.
Carpenter J., Assessing parameter uncertainty via bootstrap likelihood ratio confidence regions, Journal of Applied Statistics, 25, 639-650, 1998.
Carr W., Fisher's exact test extended to more than two samples of equal size, Technometrics, 22, 269-270, 1980.
Carroll R. , and D. Ruppert, Transformations in regression: A robust analysis. Technometrics, 27, 1-12, 1985.
Carroll R., and A. Schneider, A note of Levene's tests for equality of variances, Statistics and Probability Letters, 3, 191-194, 1985.
Casalis M., A test for the equality of the direction parameters in a sample from the N-dimensional hyperboloid distribution, Journal of Statistical Planning and Inference, 74, 229-251, 1999.
Castillo E., J. Gutiérrez and A. Hadi, Modeling probabilistic networks of discrete and continuous variables, Journal of Multivariate Analysis, 64, 1998, 48-65.
Cekanavicius V., On the convergence of Markov binomial to Poisson distribution, Statistics and Probability Letters, 58, 83-91, 2002.
Cekanavicius V., Poisson approximations for sequences of random variables, Statistics and Probability Letters, 39, 101-107, 1998.
Cellier D., D. Fourdrinier, and M. Wells, Bayesian estimation for spherically symmetric distributions, Journal of Multivariate Analysis, 70, 95-117, 1999.
Cerioli A., Tests of homogeneity for spatial populations, Statistics and Probability Letters, 58, 123-130, 2002.
Cesa-Bianchi N., Analysis of two gradient-based algorithms for on-line regression, Journal of Computer and System Sciences, 59, 392-411, 1999.
Chaloner K., Optimal Bayesian experimental design for linear models, Ann. Statist., 12, 283-300, 1984.
Chambers R., Outlier robust finite population estimation, JASA, 81, 1063-1069, 1986.
Chatfield C., Avoiding statistical pitfalls, Statistical Science, 6, 1991, 240-268.
Chatfield C., and A. Collins, An Introduction to Multivariate Analysis, Chapman and Hall, (1980).
Chatterjee S., Another look at the jackknife: further examples of generalized bootstrap, Statistics & Probability Letters, 40, 307-319, 1998.
Chen M., On mode testing and empirical approximations to distributions, Statistics and Probability Letters, 39, 1998, 245-254.
Chen M., and H. An, A Kolmogorov-Smirnov type test for conditional heteroskedasticity in time series, Statistics & Probability Letters, 1997, 33, 321
Chen P-L., E. Bernard, and P. Sen, A Markov chain model used in analyzing disease history applied to a stroke study, Journal of Applied Statistics, 26, 413-422, 1999.
Chen R-R., and S. Meyn, Value iteration and optimization of multiclass queueing networks, Queueing Systems, 32, 65-97, 1999.
Chen Z., A note on bias robustness of the median, Statistics and Probability Letters, 38, 1998, 363-368.
Chen Z., and J. Mi, An approximate conficence interval for the scale parameter of the gamma distribution based on grouped data, Statistical Papers, 42, 285-299, 2001.
Cheng J, Sampling algorithms for estimating the mean of bounded random variables, Computational Statistics, 16, 1-23, 2001.
Cheng R., and T. Iles, One-sided confidence bands for cumulative distribution function, Tecnometrics, 30, 1988, 155-159.
Chiasson P., and M. Soulié, Nonparametric estimation of generalized covariances by modeling on-line data, Mathematical Geology, 29, 1997, 153-172.
Chipman J., Linear restrictions, rank reduction, and biased estimation in linear regression, Linear Algebra and Its Applications, 289, 55-74, 1999.
Cissik R., D. Johnson, and J. Rokosch, Production of gaseous nitrogen in human steady-state conditions, J. Appl. Physiology, 32, 155-159, 1972.
Clarke B., On the overall sensitivity of the posterior distribution to its inputs, J. Statistical Planning and Inference, 71, 1998, 137-150.
Clogg, Petkova, and Haritou, Statistical methods for comparing regression coefficients between models, American Journal of Sociology, 100, 1995, 1261-1293.
Coeurjolly J., and J. Istas, Cramer-Rao bounds for fractional Brownian motions, Statistics and Probability Letters, 53, 435-447, 2001.
Collins L., Graham J., and B. Flaherty, An alternative framework for defining mediation, Multivariate Behavioral Research, 33, 1998, 295-312.
Colubi A., et. Al., A generalized strong law of large numbers, Probab Theory Relat Fields, 114, 1999, 401-417.
Conover W., Johnson M., and M. Johnson, A comparative study of tests for homogeneity of variances, with applications to the outer continental shelf bidding data, Technometrics, 23, 1981, 351-361.
Cooke T., and M. Peake, The Optimal classification using a linear discriminant for two point classes having known mean and covariance, Journal of Multivariate Analysis, 82, 379-394, 2002.
Coquio A., Why are there only three quantum noises?, Probability Theory Relat Fields, 118, 349-364, 2000.
Cowles M., and C. Davis, On the origins of the .05 level of statistical significance, American Psychologist, 37, 553-558, 1982.
Cox, D., Some general aspects of the theory of statistics, International Statistical Review, 54, 1986, 117-126.
Cox D., and N. Wermuth, A comment on the coefficient of determination for binary responses, The American Statistician, 46, 1992, 1-4.
Cressie N., A nonparametric view of generalized covariances for kriging, Math. Geol., 19, 5, 425-449, 1987.
Cressie N. and D.M. Hawkins, Robust estimation of the variogram: I, Math. Geol., 12, 2, 115-125, 1980.
Crone L, et al., Constrained regression in applied metrology, Journal of Applied Metrology, 35, 1996, 2023-2035.
Croux C. and P. Rousseeuw, Time-efficient algorithms for two highly robust estimators of scale, Computational Statistics, Physica-Verlag, 1, 411-428, 1992.
Csa'ki E., On the standardized empirical distribution function, in Colloquia Mathematica Societatis Ja'nos Bolyai, Budapest, Hungary, 1980.
Cso'rgo' M., Quantile Processes with Statistical Applications, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1983.
Cso'rgo' M., Asymptotic confidence bands for the Lorenz and Bonferroni curves based on the empirical Lorenz curve, Journal of Statistical Planning and Inference, l 74, 65-91, 1998.
Cso'rgo' M., and L. Horvath, Confidence bands from censored samples, The Canadian Journal of Statistics, 14, 131-144, 1986.
Dallal G., and L. Wilkinson L , An analytic approximation to the distribution of lilliefors's test statistic for normality, The American Statistician, 40, 294-296, 1986.
Danaher P., Parameter estimation and applications for a generalisation of the beta-binomial distribution, Australian Journal of Statistics, 30, 263-275, 1988.
Daras T., Large deviations for the empirical process of a symmetric measure: A lower bound, Statistics and Probability Letters, 66, 197-204, 2004.
Darling D., On the theorems of Kolmogorov-Smirnov, Theory of Probability and Its Applications, 5, 1960, 356-361.
DasGupta A., A new general interpretation of the Stein estimate and how it adapts: Applications, Journal of Statistical Planning and Inference, 75, 247-268, 1999.
Datta G., Empirical best linear unbiased and empirical Bayes prediction in multivariate small area estimation, Journal of Statistical Planning and Inference, 75, 269-279, 1999.
Datta G., B. Day and T. Maiti, Multivariate Bayesian small area estimation: an application to survey and satellite data, SANKHYA: Series A, 60, 344-362, 1998.
Davidov O., and M. Zelen, Exact tests for exponential regression, Journal of Statistical Planning and Inference, 88, 87-97, 2000.
Davis B., Brownian motion and random walk perturbed at extrema, Probab Theory Relat Fields, 113, 1999, 501-518.
Davis B., Perturbed random walks and Brownian motions, and local times, New York Journal of Mathematics, 3A, 1998, 81-87.
Davison A., and N. Ramesh, Some models for discretized series of events, Journal of the American Statistical Association, 91, 601-609, 1996.
Davison A., and R. Smith, Models for exceedances over high thresholds, J.R. Stat. Soc B., 1990.
Davison A., and C-L. Tsai, Regression model diagnostics, International Statistical Review, 60, 337-353, 1992.
Dawid A., The well-calibrated Bayesian (with comments), J. Amer. Statist. Assoc., 77, 605-613, 1982.
del Barrio E., J. Cuesta-Albertos, and C. Matran, Asymptotic stability of the bootstrap sample mean, Stochastic Processes and their Applications, 97, 289-306, 2002.
Deng L-Y., A note on Morris' bound for search designs, Journal of Statistical Planning and Inference, l 74, 203-204, 1998.
Derriennic Y. and M. Lin, The central limit theorem for Markov chains with normal transition operators, started at a point, Probability Theory and Related Fields, 119, 508-528, 2001.
Dette H., On a nonparametric test for linear relationships, Statistics and Probability Letters, 46, 307-316, 1999.
de Una-Alvarez J., W. Gonzalez-Manteiga, and C. Cadarso-Suarez, Chi-squared goodness-of-fit theory under proportional censorship, Journal of Statistical Planning and Inference, 109, 101-124, 2002.
Devanarayan V., and L. Stefanskib, Empirical simulation extrapolation for measurement error models with replicate measurements, Statistics & Probability Letters, 59, 219-225, 2002.
DeWoody, Y., V. Gururaj, and C. Martin, Assessing risk for rare events, Journal of Applied Statistics, 26, 681-688, 1999.
Dinwoodie I., Conditional Expectations in network traffic estimation, Statistics and Probability Letters, 47, 99-103, 2000.
Domingo-Ferrer J., and J. Mateo-Sanz, Resampling for statistical confidentiality in contingency tables, Computers and Mathematics with Applications, 38, 13-32, 1999.
Donner A., and M. Eliasziw, A goodness of fit approach to inference procedures for the Kappa statistic: CI construction, significance testing and sample size estimation, Stats. in Medicine, 11, 1992, 511-1519.
Donner A., and G. Wells, A comparison of confidence interval methods for the intraclass correlation coefficient, Biometrics, 42, 401-412, 1986.
Drees H., and H. Milbrodt, Components of the two-sided Kolmogorov-Smirnov test in signal detection problems with Gaussian white noise, Journal of Statistical Planning and Inference, 1991, 29, 325
Drees H., and H. Milbrodt, The one-sided Kolmogorov-Smirnov test in signal detection problems with Gaussin white noise, Statistica Neerlandica, 1994, 48, 103-
Drew J., A. Glen, and L. Leemis, Computing the cumulative distribution function of the Kolmogorov-Smirnov statistic, Computational Statistics and Data Analysis, 34, 1-15, 2000.
Drezner Z., Computation of the bivariate normal integral, Mathematics of Computation, 32, 1978, 277-279.
Duflo M., Random Iterative Models, Springer, 1997.
Dufour J., Dummy variables and predictive tests for structural change, Economic Letters, 6, 1980, 241-247.
Dufour R., and U. Maag, Distribution results for modified Kolmogorov-Smirnov statistics for truncated or censored samples, Technometrics, 20, 29-32, 1978.
Durbin J., Tests for serial correlation in regression analysis based on the periodogram of least-square residuals. Biometrica, 56, 1-15, 1969.
Durbin J., Distribution theory for tests based on the sample distribution function, Regional Conference Series in Applied Mathematics, SIAM, Philadelphia, 1973.
Durbin J., Kolmogorov-Smirnov tests when parameters are estimated with applications to tests of exponentiality and tests on spacings, Biometrika, 62, 5-22, 1975.
Durbin J., The first-passage of a continuous Gaussian process, Journal of Applied Probability, 22, 116-123, 1983.
Ebrahimi N., Some results on normalized total time on test and spacings, Statistics and Probability Letters, 36, 1998, 231-243.
Edgeman R., A modified Kolmogorov-Smirnov test for the inverse Gaussian density with unknown parameters, Communications in Statistics: Simulation and Computations, 1988, 17, 1203-1212.
Efromovich S. On rate and sharp optimal estimation, Probability Theory and Related Fields, 113, 1999, 415-419
Erdo"s P., The probability method: Successes and limitations, Journal of Statistical Planning and Inference, 72, 207-213, 1998.
Estivill-Castro V., and M. Houle, Robust distance-based clustering with applications to spatial data mining, Algorithmica, 30, 216-242, 2001.
Faddy M., Markov death process modelling and analysis of binary data, Statistics & Probability Letters, 40, 9-13, 1998.
Famoye F., Goodness of fit tests for generalized logarithmic series distribution, Computational Statistics and Data Analysis, 33, 59-67, 2000.
Fan Y., Goodness-of-fit tests for a multivariate distribution by the empirical characteristic function, Journal of multivariate analysis, 62, 1997, 36.
Feldt L., A test of the hypothesis that Cronbach's alpha reliability coefficient is the same for two tests administered to the same sample, Psychometrika, 45, 1080, 99-105.
Ferketich S., and J. Verran, An overview of data transformation, Research in Nursing and Health, 5, 393-404, 1994.
Filipovic D., Invariant manifolds for weak solutions to stochastic equations, Probability Theory Relat Fields, 118, 323-341, 2000.
Finner H., and K. Strassburger, Increasing sample sizes do not always increase the power of UMPU-tests for 2-by-2 tables, Metrika, 54, 77-91, 2001.
Fishman G., Monte Carlo: Concepts, Algorithms, and Applications, Springer, New Yorker, 1996.
Florchinger P., Risk sensitive nonlinear filtering with correlated noises, Applied Mathematics Letters, 13, 97-103, 1999.
Fokianos K., and B. Kedem, Prediction and classification of non-stationary categorical time series, J. Multivariate Anal., 67, 277-296, 1998.
Foster D., and W. Bischof, Bootstrap estimates of the statistical accuracy of thresholds obtained from psychometric functions, Spatial Vision, 11, 1997, 135-139.
Franses ph., and P. de Bruinb, On data transformations and evidence of nonlinearity, Computational Statistics & Data Analysis, 40, 621-632, 2002.
Frazier L., An analysis of a Bayes inverse regression method of confidence intervals in linear calibration, J. Statist. Comp. Simul., 3, 99-103, 1974.
Freedman L., Confidence intervals and statistical power of the 'Validation' ratio for surrogate or intermediate endpoints, Journal of Statistical Planning and Inference, 96, 143-153, 2001.
Friedman Ch., The Frequency Interpretation in Probability, Advances in Applied Mathematics, 23, 234-254, 1999.
Friedman Y., A. Gelman, and E. Phadia, A modified Kolmogorov-Smirnov type goodness of fit test, Communications in Statistics: Theory and Method, 1988, 17, 4147-4162.
Frosini B., On the factors explaining the power of some goodness-of-fit tests, Statistica, 47, 29-48, 1987.
Frostig E., Jointly optimal allocation of a repairman and optimal control of service rate for machine repairman problem, European Journal of Operational Research, 114, 224-230, 1998.
Frydman H, Semiparametric estimation in a three-state duration-dependent Markov model from interval-censored observations with application to AIDS data, Biometrics, 51, 502-511, 1995.
Frydman H., A note on nonparametric estimation of the distribution function from interval-censored and truncated observations, Journal of the Royal Statistical Society, 56, 71-74, 1994.
Fujioka Y., and Y. Maesono, Higher order normalizing transformations of asymptotic U-statistics for removing bias, skewness and kurtosis, Journal of Statistical Planning and Inference, 83, 47-74, 1999.
Gaenssler P., and M. Gutjahr, On computing exact Kolmogorov and Renyi type distributions, in Colloquia Mathematica Societatis Ja'nos Bolyai, Budapest, Hungary, 155-174, 1984.
Gang L., Simulation-based goodness-of-fit test for survival data, Statistics and Probability Letters, 47, 403-410, 2000.
Gangopadhyay A., Estimation of spectral density of a stationary time series via an asymptotic representation of the periodogram, Journal of Statistical Planning and Inference, 75, 281-290, 1999.
Garren S., R. Smith; and W. Piegorsch, Bootstrap goodness-of-fit test for the beta-binomial model, Journal of Applied Statistics, 28, 561-571, 2001.
Gart J., and J. Nam, Approximate interval estimation of the ratio of binomial parameters: A review and corrections for skewness, Biometrics, 44, 323-338, 1988.
Gastaldi T., Optimal reconstruction of a generally censored sample, Statistics & Probability Letters, 14, 1992.
Gastaldi T., Generalized two sample Kolmogorov-Smirnov test involving a possibly censored sample, Communications in Statistics: Simulation and Computations, 1991, 20, 365-373.
Gastaldi T., A Kolmogorov-Smirnov test procedure involving a possibly censored or truncated sample, Communications in Statistics: Theory and Method, 1993, 22, 31-39.
Gather U., and J. Pawlitschko, Estimating the survival function under a generalized Koziol-Green model with partially informative censoring, Metrika, 48, 1998, 189-207.
Geisser J., and S. Cornfield, Posterior distribution for multivariate normal parameters, J. Roy. Statist. Soc., 25, 368-376, 1963.
Genton M., and X. de Luna, Robust simulation-based estimation, Statistics and Probability Letters, 48, 253-259, 2000.
Gerchak Y., and R. Cho, Value of information to a group of decision-makers with different priors, Socio-Economic Planning Sciences, 35, 125-130, 2001.
Ghorai J., The asymptotic distribution of the suprema of the standardized empirical processes under the Koziol--Green model, Statistics & Probability Letters, 41, 303-313, 1999.
Ghosh M., Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping, Journal of Statistical Planning and Inference, 75, 305-318, 1999.
Gibbins K., and I. Walker, Multiple interpretations of the Rokeach value survey, Journal of Social Psychology, 133, 797-805, 1993.
Gideon R., and A. Rothan, The Kolmogorov-Smirnov statistics in variation testing, Communications in Statistics: Theory and Method, 1991, 20, 73-86
Gil-Alana, and Robinson, Testing of unit roots and other nonstationary hypotheses in macroeconomcic time series, Journal of Econometrics, 80, 1997, 241-268.
Gilbert P., Combining VAR Estimation and State Space Model Reduction for Simple Good Predictions, J. of Forecasting: Special Issue on VAR Modelling and Forecasting, 14, 1995, 229-250.
Gill P., G. Golub, W. Murray, and M. Saunders, Methods for Modifying Matrix Factorizations, Math. Comput., 28, 505-535, 1974.
Glaz J., Simultaneous confidence intervals for multinomial proportions, Journal of Statistical Planning and Inference, 82, 251-262, 1999.
Gleser L., Exact power of goodness-of-fit tests of Kolmogorov type for discontinuous distribution, JASA, 80, 954-958, 1985.
Goldstein H., and M. Healy, The graphical presentation of a collection of means, J. Roy. Stat. Soc. A, 158, 1995, 175-177.
Gomez-Deniz E., The Esscher premium principle in risk theory: A Bayesian sensitivity study, Insurance Mathematics and Economics, 25, 387-395, 1999.
Gómez G., and M. Luz Calle , Non-parametric estimation with doubly censored data, Journal of Applied Statistics, 26, 45-58, 1999.
Gomez-Villegas M., P. Main, L. Sanz, and H. Navarro, Asymptotic relationships between posterior probabilities and p-values using the hazard rate, Statistics and Probability Letters, 66, 59-66, 2004.
Gonzalez-Rivera G., and A. Ullah, Rao's score test with nonparametric density estimators, Journal of Statistical Planning and Inference, 97, 85-100, 2001.
Goovaerts P., Spatial orthogonality of the principal components computed from coregionalized variables, Mathematical Geology, 25, 1993, 281-301.
Godambe V., The foundations of finite sample estimation in stochastic processes, Biometrika, 72, 1985, 419-428.
Gorsuch R., Common factor analysis versus component analysis: Some well and little known facts, Multivariate Behavioral Research, 25, 1990, 33-39.
Grambsch P., and P. O'Brien, The effects of transformations and preliminary tests for non-linearity in regression, Stat in Med., 10, 697-709, 1991.
Grambsch P., and Therneau, Proportional hazards tests and diagnostics based on weighted residuals, Biometrika, 81, 1994, 515-526.
Grillenzoni C., Forecasting unstable and nonstationary time series, International Journal of Forecasting, 14, 469-482, 1998.
Gross D., Miller D. R., The randomization technique as a modeling tool and solution procedure for transient Markov processes, Operations Research, 32, 1984, 343-61.
Gross J., On contractions in linear regression, Journal of Statistical Planning and Inference, 74, 343-351, 1999.
Guerrero V., Selecting a linearizing power transformation for time series, Journal of Applied Statistics, 27, 185-196, 1999.
Guilbaud O., Exact Kolmogorov-type test for left-truncated and/or right-censored data , Journal of American Statistical Association, 83, 213-221, 1988.
Guillou A., Efficient weighted bootstraps for the mean, Journal of Statistical Planning and Inference, 77, 11-35, 1999.
Gunes H., D. Dietz, and A. Moore, Modified goodness-of-fit tests for the inverse Gaussian distribution, Computational statistics & Data Analysis, 24, 1997, 63.
Gupta A., Moments of ratios of quadratic forms, Statistics and Probability Letters, 38, 69-71, 1998.
Gupta S. Simultaneous lower confidence bounds for probabilities of correct selections, Journal of Statistical Planning and Inference, 72, 279-290, 1998.
Gurtler N., and N. Henze, Recent and classical goodness-of-fit tests for the Poisson distribution, Journal of Statistical Planning and Inference, 90, 207-225, 2000.
Gustafsson A., F. Ekdahl, and B. Bergman, Conjoint analysis: A useful tool in the design process, Total Quality Management, 10, 327-344, 1999.
Hall P., and Ch. Rau, Likelihood-based confidence bands for fault lines in response surfaces, Probability Theory and Related Fields, 124, 26-49; 2002.
Hallin M., Nonparametric tests of independence of two autoregressive time series based on autoregression rank scores, Journal of Statistical Planning and Inference, 75, 319-330, 1999.
Halpern E., M. Alpert, A. Krieger, C. Metz, and A. Maidment, Comparisons of ROC curves on the basis of optimal operating points, Academic Radiology, 3, 1996, 245-253.
Halperin M., On inverse estimation in linear regression, Technometrics, 12, 727-736, 1970.
Hand D., Statistics and the theory of measurement, (with discussion), Journal of the Royal Statistical Society, Series A, 159, 445-492, 1996.
Hansen M., R. Gill and J. Baddeley, Kaplan-Meier type estimators for linear contact distributions, Scandinavian Journal of Statistics, 1996, 23, 129-155.
Hardwick J. and Q. Stout, Exact computational analyses for adaptive designs, in Adaptive Designs, N. Flornoy and W.F. Rosenberger (eds.), IMS Lecture Notes - Monograph Series, 25, 1995, 223-237.
Hardwick J. and Q. Stout, Using path induction to evaluate sequential allocation procedures, SIAM J. Scientific Computing, 21, 1999, 67-87.
Haro-López R., and A. Smith, On robust Bayesian analysis for location and scale parameters, Journal of Multivariate Analysis, 70, 30-36, 1999.
Hart J., Permutation inversions and multidimensional cumulative distribution functions, Inform. Process. Lett., 14, 1982, 218-222.
Harter H. L., Khamis H. J., and R. Lamb, Modified Kolmogorov-Smirnov tests of goodness of fit, Commun. Statist.-Simula. Computa., 13, 293-323, 1984.
Hartigan J., and P. Hartigan, The dip test of unimodality, Annals of Statistics, 13, 1985, 70-84.
Hartigan, P., Computation of the dip statistic to test for unimodality, Applied Statistics, 34, 1985, 320-325.
Harvill J., Testing time series linearity via goodness-of-fit methods, Journal of Statistical Planning and Inference, 75, 331-341, 1999.
Hawkins D., Fitting multiple change-point models to data, Computational Statistics and Data Analysis, 37, 323-341, 2001.
Hayakawa T., Rao's statistic for homogeneity of multiple parameter, Journal of Statistical Planning and Inference, 97, 101-111, 2001.
Hendriks H., and Z. Landsman, Mean location and sample mean location on manifolds: Asymptotics, tests, confidence regions, J. Multivariate Anal., 67, 227-243, 1998.
Heng-Hui L., A study of sensitivity analysis on the method of Principal Hessian Directions, Computational Statistics, 16, 109-130, 2001.
Henze N., A Poisson limit law for a generalized birthday problem, Statistics and Probability Letters, 39, 1998, 333-336.
Herna'ndez-Flores C., Estimation of the population spectrum with replicated time series, Computational Statistics & Data Analysis, 30, 271-280.
Hiederhausen H., Scheffer polynomial for computing exact Kolmogorov- Smirnov and Re'nyi type distribution, Annals of Statistics, 9, 923-944, 1981.
Hirsch R., and J. Slack, A nonparametric trend test for seasonal data with serial dependence, Water Resour. Res., 20, 1984, 727-732.
Hochberg Y., A sharper Bonferroni procedure for multiple tests of significance, Biometrika, 75, 800-802, 1988.
Hoffmann M., Rate of convergence for parametric estimation in a stochastic volatility model, Stochastic Processes and their Applications, 97, 147-170, 2001.
Hollander M., I. McKeague, J. and Yang, Likelihood ratio-based confidence bands for survival functions, Journal of the American Statistical Association, 92, 215-226, 1997.
Hommel G., A stagewise rejective multiple test procedure based on a modified Bonferroni test, Biometrika, 75, 383-386, 1988.
Hommel G., Bonferroni procedures for logically related hypotheses, Journal of Statistical Planning and Inference, 82, 119-128, 1999.
Horva'th L., On the best approximation for bootstrapped empirical processes, Statistics & Probability Letters, 41, 117-122, 1999.
Hosmer D., T. Hosmer, and S. Lemeshow, A comparison of goodness-of-fit tests for the logistic regression model, Statistics in Medicine, 16, 1997, 965.
Hou C., J. Chiang, and J. Tai, A family of simultaneous confidence intervals for multinomial proportions, Computational Statistics and Data Analysis, 43, 29-45, 2003.
Hou X., and C. Wu, On the determination of robust settings in parameter design experiments, Statistics and Probability Letters, 54, 137-145, 2001.
Howard P., and D. Howard, The Application of ridit analysis to phenological observations, Journal of Applied Statistics, 12, 1985, 29-35.
Hu I., A uniform bound for the tail probability of Kolmogorov-Smirnov statistic, Annals of Statistics, 821-826, 1985.
Hu X, and Lawless J., Estimation of rate and mean functions from truncated recurrent event data, Jurnal of the American Statistical Association, 91, 300-310, 1996.
Huang L-S, Testing goodness-of-fit based on a roughness measure, JASA, 92, 1997, 1399.
Hulliger B., Outlier robust Horvitz-Thompson estimators, Survey Methodology, 21, 79-87, 1995.
Hunter J, The exponentially weighted moving average, Journal of Quality Technology, 18, 1986, 203-210.
Hurlimann W., Distribution-free comparison of pricing principles, Insurance: Mathematics and Economics, 28, 351-360, 2001.
Hutsemekers D., Evidence for very large-scale coherent orientations of quasar polarization vector, Astronomy & Astrophysics: A European Journal, 332(2), 410-428, 1998.
Hutson A., Calculating nonparametric confidence intervals for quantiles using fractional order statistics, Journal of Applied Statistics, 26, 1999, 343-354.
Hyung H, and C. de Vries, Portfolio diversification effects and regular variation in financial data, Allgemeines Statistisches Archiv, 86, 69-82, 2002.
Ignaccolo R., Goodness-of-fit tests for dependent data, Journal of Nonparametric Statistics, 16, 19-38, 2004.
Inglot T., and T. Ledwina, On probabilities of excessive deviations for Kolmogorov-Smirnov Cramer-von Mises and chi-square statistics, The Annals of Statistics, 1990, 18, 1491-1497.
Ioannides D., Exponential inequality for associated random variables, Statistics & Probability Letters, 42, 423-431, 1999.
Jammalamadaka S., Changes in the general linear model: A unified approach, Linear Algebra and Its Applications, 289, 225-242, 1999.
Jammalamadaka S., and E. Taufer, Testing exponentiality by comparing the empirical distribution function of the normalized spacings with that of the original data, Journal of Nonparametric Statistics, 15, 719 - 729, 2003.
Jarner S., Geometric ergodicity of Metropolis algorithms, Stochastic Processes and their Applications, 85, 341-361, 1999.
Jayakumar K., and R. Pillai, A class of stationary Markov processes, Applied Mathematics Letters, 15, 513-519, 2002.
Jensen D., The use of studentized diagnostics in regression, Metrika, 52, 213-223, 2000.
Jiang J., Empirical method of moments and its applications, Journal of Statistical Planning and Inference, 115, 69-84, 2003.
Joe H., Relative entropy measures of multivariate dependence, JASA, 84, 1989, 157- 164.
Johnstone D., Tests of significance in theory and practice, Statistician, 35, 1986, 491-504.
Jones M., The complementary beta distribution, Journal of Statistical Planning and Inference, 104, 329-337, 2002.
Jones M., and R. Sibson, What is projection pursuit, J. R. Statistical Society, Series A, 150, 1987, 1-36.
Jorgensen M., Jackknifing, fixed points of iterations, Biometrika, 74, 207-211, 1987.
Jorgensen M., Influence functions for iteratively defined statistics, Biometrika, 80, 253-265, 1993.
Joseph L., and D. Wolfson, Interval-based versus decision theoretic criteria for the choice of sample size, The Statistician, 46, 145-149, 1997.
Jung S-H., Analysis of goodness-of-fit for Cox regression model, Statistics & Probability Letters, 41, 379-382, 1999.
Jupp P., and Mardia K., A unified view of the theory of directional statistics, 1975-1988, International Statistical Review, 57, 261-294, 1989.
Justel A., Pena D., and R. Zamar, A multivariate Kolmogorov-Smirnov test of goodness of fit, Statistics & Probability Letters, 36, 1997, 251.
Kabaila P., and C. Lloyd, When do best confidence limits exist?, Statistics and Probability Letters, 50, 115-120, 2000.
Kabe D., On some coverage probability maximization problems, Commun. Stat., Simulation Comput., B9, 1980, 73-79.
Kagan A., Why the variance?, Statistics and Probability Letters, 38, 1998, 329-333.
Kagan A., Relation between the covariance and Fisher information matrices, Statistics & Probability Letters, 42, 7-13, 1999.
Kanofsky P. and R. Srinivasan, An approach to the construction of parametric confidence bands on cumulative distribution functions, Biometrika, 59, 623-631, 1972.
Kaplan E., and P. Meier, Nonparametric estimation for incomplete observations, Jurnal of the American Statistical Association, 53, 457-481, 1958.
Keene O., The log transformation is special, Statistics in Medicine, 14, 811-819, 1995.
Kettani O., and K. Khelifi, PariTOP: A goal programming-based software for real estate assessment, European Journal of Operational Research, 133, 362-376, 2001.
Khamis H., The Delta-corrected Kolmogorov-Smirnov test for goodness of fit, Journal of Statistical Planning and Inference, 1990, 24, 317
Khamis H., The two-stage delta-corrected Kolmogorov-Smirnov test, Journal of Applied Statistics, 27, 439-450, 1999.
Khmaladze E., Martingle approach in the theory of goodness-of-fit, Theory of Probability and Its Applications, 26, 1981, 240-257.
Khurshid, A. and H. Sahai, A second bibliography on estimation and testing procedures for non-normal Samples, Statistica Applicata: Italian Journal of Applied Statis