| This graduate text introduces some of the most common computer-intensive methods, including Maximum Likelihood, Monte Carlo and Bayesian methods. Examples of their application using biological data are provided, along with a series of software instructions for the statistical software package S-PLUS and problems and solutions are included to aid understanding. |
| Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside. |
| 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 inthis Book Appendix B - Brief Description of S-PLUS Subroutines Usedin this Book Appendix C - S-PLUS Codes Cited in Text Appendix D - Solutions to Exercises Index |
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