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Statistics Related Websites

StatSoft, Inc

• This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department.

• Maintained by David M. Lane
• An online statistics book with links to other statistics resources on the web
• Java applets that demonstrate various statistical concepts
• Examples of real data with analyses and interpretation and Some basic statistical analysis tools

National Library of Medicine

• Finding and Using Health Statistics: A Self-Study Course

ISBA

• International Society for Bayesian Analysis
• The function of this website is to serve as a resource for members of ISBA and for the larger community of individuals who have an interest in Bayesian statistics.

CALD: Center for Automated Learning and Discovery

American Statistics Association

Journal of Statistics Education: An International Journal on the Teaching and Learning of Statistics

Biometry Research Group, Division of Cancer Prevention, National Cancer Institute

SticiGui

• Statistics Tools for Internet and Classroom Instruction with a Graphical User Interface by P. B. Stark, Professor in Statistics, University of Berkely

Statistical Methods for Rater Agreement

• This site is a resource for the analysis of agreement among raters, diagnostic tests, observers, judges or experts. It contains background discussion on different methods, examples, references, software, and information on recent methodological developments.

Case Studies in Bayesian Statistics Work Shop, Carnegie Melon University

• Work Shop IV: September 26-27, 1997
• Work Shop V: September 24-25, 1999
• Work Shop VI: September 28-29, 2001
• Work Shop VII: September 12-13, 2003

The Q² Methodology for Bayesian Networks

• Our University of London group with members in Imperial College and King’s College and international associates has been developing an approach to Bayesian networks using what they call the Q2 methodology. Q2 (or qualquant) is short for qualitative and quantitative, and the basis of the method is to use considerations of both these kinds in developing Bayesian networks.

Latent Class Analysis

• This site is a resource for applied researchers and statisticians interested in latent class models.

BIPS: BAYESIAN INFERENCE FOR PHYSICAL SCIENCES

• An annotated online index/clearinghouse for information on the Bayesian approach to statistical inference of special relevance to applications in the physical sciences

Perfectly Random Sampling with Markov Chains by David Bruce Wilson

Two Stage Bayesian Networks by Jon Williamson

MSBNx - Bayesian Network Editor and Tool Kit

• MSBNx is a component-based Windows application for creating, assessing, and evaluating Bayesian Networks, created at Microsoft Research.

UNIVERSITY RESEARCH LINKS

• UCLA Statistics Case Studies
• University of California, Berkely, Technical Reports of Statistics
• Department of Statistics, University of California, Berkely
• Department of Statistics, Trinity College, Dublin
• Department of Mathematical Sciences, University of Alabama, Huntsville
• Institute of Statistics and Decision Sciences, Duke University

HOME PAGES

• Bradley P. Carlin, Professor, Division of BioStatistics, University of Minnesota
• Brian Ripley, Professor of Applied Statistics at the University of Oxford and a member of the Department of Statistics as well as a Professorial Fellow of St. Peter's College
• Thomas W. Woolley, Ph.D., Professor of Statistics, Samford University
• John Rice, Professor of Statistics, University of California, Berkeley
• Mike West, Professor of Statistics and Decision Sciences, Institute of Statistics and Decision Sciences, Duke University
• Charles M. Friel, College of Criminal Justice, Sam Houston State University
• Thomas A. Louis, Senior Statistical Scientist, The RAND Corporation
• Rob Kass, Professor and Head, Department of Statistics, Carnegie Mellon University
• Jon Williamson, Philosophy and AI group, Department of Philosophy, King's College, London
• David Bruce Wilson
• Christopher R. Bilder, Department of Statistics, Oklahoma State University
• Andrew Schaffner, University of Washington, Department of Statistics
• P. B. Stark, Professor in Statistics, University of Berkely
• Elliot A. Tanis, Department of Mathematics, Hope College, Holland, MI
• Terry Speed, Department of Statistics, University of California at Berkely
• Heping Zhang, Associate Professor of Biostatistics, Child Study, and Statistics, Yale University

PLAY WITH STATISTICS

• The purpose of this page is to illustrate some statistical concepts using QuickTime movies and java applets. Click HERE.
• Powers of Ten
• Graphical example of Probability
• Statiscope
• Histogram
• Probability
• Normal Distribution
• Central Limit Theorem
• Confidence Interval.
• Students t-Distribution
• Students t-Test
• Regression
• Pass the Pigs

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