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Statistics, R Language and SAS Programming
Financial Mathematics Books Probability and Stochastic Books
Introduction to Statistical Signal Processing ©2005-2008 (Robert M. Gray and Lee D. Davisson) 478 pages
Collaborative Statistics ©2006-2008 (Barbara Illowsky and Susan Dean) 510 pages
Electronic Statistics Textbook ©2007 (StatSoft, Inc.) 800 pages
Statistics: Methods and Applications ©2005-2007 (Thomas Hill, Paul Lewicki) 800 pages
Genomic Signal Processing and Statistics ©2005 (Edward R. Dougherty, et al)
Introductory Statistics: Concepts, Models, and Applications ©1996-1998 (David W. Stockburger)
A New View of Statistics ©2008 (Will G Hopkins) Handbook for a Statistics Project (David W. Stockburger)
Fundamentals of Statistics ©2006 (H. Lohninger) Engineering Statistics Handbook ©2006 (NIST)
HyperStat Online Statistics Textbook ©1993-2007 (David M. Lane)
Concepts and Applications of Inferential Statistics ©1999-2007 (Richard Lowry)
Multivariate Statistics: Concepts, Models, and Applications, 2nd Edition ©1996-2001 (David W. Stockburger) [1st Edtion]
Statistical Software Engineering ©1996 (Panel on Statistical Methods in Software Engineering)
Machine Learning, Neural and Statistical Classification ©1994 (D. Michie/D. Spiegelhalter/C. Taylor)
Randomness and Optimal Estimation in Data Sampling, 2nd edition ©2002 (M. Khosnevisan, S. Saxena, et al)
Non-Uniform Random Variate Generation ©1986 (Luc Devroye) 843 pages
Spatial Statistics and Digital Image Analysis ©1991 (National Academy Press) 234 pages
Using R for Introductory Statistics ©2001-2004 (John Verzani) 432 pages [Homepage]
An Introduction to R ©2002-2007 (W. N. Venables/D. M. Smith) 156 pages [PDF]
R Language Definition [PDF] Writing R Extensions [PDF]
Practical Regression and Anova using R ©2002 (Julian J. Faraway) 213 pages
SAS Tutorials [Another] [UNIX (1)] [UNIX (2)] [Collection] SAS for Windows and the Analyst Application
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