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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