Statistics, R Language and SAS - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
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Statistics, R Language and SAS Programming
🌠 Top Free Mathematics Books - 100% Free or Open Source!
The R Programming Language Books Probability and Stochastic Books
Data Analysis and Data Mining Books Financial Mathematics Books
Learning Statistics with R ©2011-Date (Daniel Navarro)
From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science ©2009-Date (Norm Matloff)
Think Bayes: Bayesian Statistics Made Simple ©2012 (Allen B. Downey)
Introduction to Python for Econometrics, Statistics and Data Analysis ©2012 (Kevin Sheppard)
Applied Multivariate Statistical Analysis ©2003-2012 (Wolfgang K. Härdle)
O'Reilly® Think Stats: Probability and Statistics for Programmers ©2011 (Allen B. Downey)
A First Course on Time Series Analysis with SAS ©2011 (Michael Falk, et al.)
Introduction to Statistical Thinking, With R, Without Calculus ©2011 (Benjamin Yakir)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition ©2009-2011
Statistics of Financial Markets: An Introduction ©2010 (ürgen Franke, et al) 505 pages
Natural Image Statistics: A Probabilistic Approach to Early Computational Vision ©2010 (Aapo Hyvarinen)
Introduction to Statistical Thought ©2010 (Michael Lavine)
Fundamentals of Statistics ©2006-2010 (H. Lohninger) Engineering Statistics Handbook ©2006-2010 (NIST)
Modeling with Data: Tools and Techniques for Scientific Computing ©2009 (Ben Klemens) 470 pp
Introduction to Statistical Signal Processing ©2005-2009 (Robert M. Gray and Lee D. Davisson)
Machine Learning, Neural and Statistical Classification ©1994-2009 (Donald Michie, D. Spiegelhalter, et al)
A Practical Guide to Geostatistical Mapping ©2009 (Tomislav Hengl)
Natural Image Statistics in Digital Image Forensics ©2008 (Siwei Lyu)
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)
A Practical Guide to Basic Statistical Techniques for Data Analysis in Cosmology ©2007 (Licia Verde)
Statistical Tools for Finance and Insurance ©2005 (Pavel Cízek, Wolfgang Härdle, Rafal Weron)
Genomic Signal Processing and Statistics ©2005 (Edward R. Dougherty, et al)
Handbook of Computational Statistics: Concepts and Methods ©2004 (James E. Gentle, et al)
A New View of Statistics ©2009 (Will G Hopkins) Handbook for a Statistics Project (David W. Stockburger)
HyperStat Online Statistics Textbook ©1993-2007 (David M. Lane)
Concepts and Applications of Inferential Statistics ©1999-2007 (Richard Lowry)
A Handbook of Statistical Analyses Using R ©2006 (Brian S. Everitt, Torsten Hothorn)
Using R for Introductory Statistics ©2004-2005 (John Verzani)
Correlation and Causality (revised electronic edition, 2004), by David A. Kenny
Nonparametric and Semiparametric Models ©2004 (Wolfgang K. Härdle, et al)
Applied Nonparametric Regression ©1992-2004 (Wolfgang Haerdle)
Randomness and Optimal Estimation in Data Sampling, 2nd edition ©2002 (M. Khosnevisan, S. Saxena, et al)
Multivariate Statistics: Concepts, Models, and Applications, 2nd Edition ©1996-2001 (David W. Stockburger) [1st Edtion]
Introductory Statistics: Concepts, Models, and Applications ©1996-1998 (David W. Stockburger)
Statistical Software Engineering ©1996 (Panel on Statistical Methods in Software Engineering)
Machine Learning, Neural and Statistical Classification ©1994 (D. Michie/D. Spiegelhalter/C. Taylor)
Spatial Statistics and Digital Image Analysis ©1991 (National Academy Press) 234 pages
Introductory Statistics, Fifth Edition ©1990 (T. H. Wonnacott, R. J. Wonnacott)
Statistical Analysis in Art Conservation Research ©1988 (Terry Reedy, Chandra Reedy) 116 pages
Statistics for the Behavioral and Social Sciences ©1987 (David A. Kenny) 434 pages
Non-Uniform Random Variate Generation ©1986 (Luc Devroye) 843 pages
The Little SAS Book: A Primer, Fourth Edition ©2008 (Lora Delwiche, Susan Slaughter)
SAS Survival Handbook: How to Survive in the Wild, in Any Climate, on Land or at Sea ©2004
SAS Tutorials [SAS Statistics Tutorials] SAS for Windows and the Analyst Application
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