Introduction to computer-intensive methods of data analysis in biology / Derek A. Roff.

By: Roff, Derek A, 1949-
Material type: TextTextPublisher: Cambridge, UK ; New York : Cambridge University Press, 2006Description: 1 online resource (vii, 368 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 0511219121; 9780511219122; 0521846285; 0521608651; 9780521846288; 9780521608657; 9780511648267; 051164826X; 0511219806; 9780511219801; 9780511616785; 0511616783; 1280956127; 9781280956126; 1107152283; 9781107152281; 9786610956128; 661095612X; 0511351631; 9780511351631; 0511567731; 9780511567735Subject(s): Biology -- Data processing | Bioinformatics | Systems Biology | Data Interpretation, Statistical | Biometry | Biologie -- Informatique | NATURE -- Reference | SCIENCE -- Life Sciences -- General | SCIENCE -- Life Sciences -- Biology | Bioinformatics | Biology -- Data processing | Biologie | DatenanalyseGenre/Form: Electronic book. | Electronic books. | Electronic books. Additional physical formats: Print version:: Introduction to computer-intensive methods of data analysis in biology.DDC classification: 570.285 LOC classification: QH324.2 | .R62 2006ebOther classification: QH 252 | WC 3420 | BIO 110f Online resources: Click here to access online
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.
Summary: 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.
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Includes bibliographical references (pages 233-241) and index.

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.

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.

Print version record.

English.

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