Introduction to computer-intensive methods of data analysis in biology /
Roff offers an introduction to modern computational tools such as Maximum Likelihood, Monte Carlo and Bayesian methods for the analysis of biological data using S-PLUS, a statistical software package. This book is useful for graduate level students and researchers across the biological sciences.
Saved in:
| Online Access: |
Full text (MCPHS users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, UK ; New York :
Cambridge University Press,
2006
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- Cover; Half-title; Title; Copyright; Contents; Preface; 1 An introduction to computer-intensive methods; 2 Maximum likelihood; 3 The jackknife; 4 The bootstrap; 5 Randomization and Monte Carlo methods; 6 Regression methods; 7 Bayesian methods; References; Appendix A: An overview of S-PLUS methods used in this book; Appendix B: Brief description of S-PLUS subroutines used in this book; Appendix C: S-PLUS codes cited in text; Appendix D: Solutions to exercises; Index.
