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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.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2006.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Roff, Derek A., |d 1949- |1 https://id.oclc.org/worldcat/entity/E39PBJqvTXgbTkhyrcBfW3tFrq | |
| 245 | 1 | 0 | |a Introduction to computer-intensive methods of data analysis in biology / |c Derek A. Roff. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2006. | ||
| 300 | |a 1 online resource (vii, 368 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references (pages 233-241) and index. | ||
| 520 | |a 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. | ||
| 505 | 0 | |a 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. | |
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
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| 650 | 2 | |a Computational Biology | |
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