TECHTEAM SHUT THE WINDOWS OF THE PAST

Friday, September 19, 2008

Statistics, R Language and SAS Programming

Financial Mathematircs Books

1. Collaborative Statistics ©2006-2008 (Barbara Illowsky and Susan Dean) 510 pages

2. Genomic Signal Processing and Statistics ©2005 (Edward R. Dougherty, et al)

3. Introductory Statistics: Concepts, Models, and Applications ©1996-1998 (David W. Stockburger)

4. A New View of Statistics ©2008 (Will G Hopkins)

5. Fundamentals of Statistics ©2006 (H. Lohninger)

6. HyperStat Online Statistics Textbook ©1993-2007 (David M. Lane)

7. Concepts and Applications of Inferential Statistics ©1999-2007 (Richard Lowry)

8. Multivariate Statistics: Concepts, Models, and Applications, 2nd Edition ©1996-2001 (David W. Stockburger) [1st Edtion]

9. Introduction to Statistical Signal Processing ©2005-2007 (Robert M. Gray and Lee D. Davisson) 478 pages

10. Statistical Software Engineering ©1996 (Panel on Statistical Methods in Software Engineering)

11. Machine Learning, Neural and Statistical Classification ©1994 (D. Michie/D. Spiegelhalter/C. Taylor)

12. Randomness and Optimal Estimation in Data Sampling, 2nd edition ©2002 (M. Khosnevisan, S. Saxena, et al)

13. Non-Uniform Random Variate Generation ©1986 (Luc Devroye) 843 pages

14. Spatial Statistics and Digital Image Analysis ©1991 (National Academy Press) 234 pages

15. Using R for Introductory Statistics ©2001-2004 (John Verzani) 432 pages [Homepage]

16. An Introduction to R ©2002-2007 (W. N. Venables/D. M. Smith) 156 pages [PDF]

17. R Language Definition [PDF]

18. Practical Regression and Anova using R ©2002 (Julian J. Faraway) 213 pages

19. SAS Tutorials [Another] [UNIX (1)] [UNIX (2)] [Collection]

20. Handbook for a Statistics Project (David W. Stockburger)

21. Engineering Statistics Handbook ©2006 (NIST)

22. Probability and Stochastic Books

23. Writing R Extensions [PDF]

24. SAS for Windows and the Analyst Application

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