     
STT 464/664,
Computational Statistics
Monographs on Bootstrap, S-Plus, and Computational Statistics
- Regression Modeling Strategies: With
Applications to Linear Models, Logistic Regression, and Survival Analysis,
Frank E. Harrell, Jr., 2001 Springer.
- An Introduction to the Bootstrap, Bradley Efron and Robert J.
Tibshirani, 1993, Chapman & Hall.
- An Introduction to S and S-Plus, Phil Spector, 1994, Duxbury Press.
- Applied Wavelet Analysis with S-Plus, Andrew Bruce and Hong-Ye Gao, 1996, Springer.
- Bootstrap Methods and their Application, A.C. Davidson and D.V. Hinkley, 1997, Cambridge
University Press.
- Bootstrapping: A Nonparametric Approach to Statistical
Inference, Christopher Z. Mooney
and Robert D. Duval, 1993, Sage Publications.
- Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap, J.S.U. Hjorth, 1994,
Chapman & Hall.
- Exploring the Limits of Bootstrap, edited by Raoul Lepage and Lynne Billard, 1992,
John Wiley & Sons.
- Modern Applied Statistics with S-PLUS, W.N. Venables and B.D.
Ripley, 1997, Springer.
- Resampling Methods: A Practical Guide to
Data Analysis, Phillip I. Good, 1999, Birkhauser.
- Statistical Computing: An Introduction to
Data Analysis using S-Plus, Michael J. Crawley, 2002, John Wiley & Sons.
- Statistical Models in S, edited by John M. Chambers and Trevor J. Hastie, 1992,
Wadsworth & Brooks/Cole Advanced Books & Software.
- The Basics of S and S-PLUS, Andreas Krane and Melvin Olson,
2nd Ed., 2000, Springer.
Monographs on Computational
Sciences
- An Introduction to Computational Biology: Maps, Sequences and Genomes, Michael S.
Waterman, 1995, Chapman & Hall.
- Randomization, Bootstrap and Monte Carlo Methods in Biology, Bryan F.J. Manly, 1997,
Chapman & Hall.
Information on S-Plus
Information on R
Datasets and Interesting
Websites
Last edit on
June 06, 2007
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