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Introduction to Computer-Intensive M...

Ebooks Corporation.

Introduction to Computer-Intensive Methods of Data Analysis in Biology.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to Computer-Intensive Methods of Data Analysis in Biology.
Author:	Roff, Derek A.
Published:	Cambridge :Cambridge University Press,2006.
Description:	378 p.
Subject:	Biology.
Online resource:	Click here to view book
ISBN:	9780511616785 (electronic bk.)

Introduction to Computer-Intensive Methods of Data Analysis in Biology.
Roff, Derek A.

Introduction to Computer-Intensive Methods of Data Analysis in Biology.[electronic resource]. - Cambridge :Cambridge University Press,2006. - 378 p.

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

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.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511616785 (electronic bk.)Subjects--Topical Terms:

188667
Biology.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QH324.2 .R62 2006eb

Dewey Class. No.: 570.285

Introduction to Computer-Intensive Methods of Data Analysis in Biology.
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245 1 0 $a Introduction to Computer-Intensive Methods of Data Analysis in Biology. $h [electronic resource].
260 $a Cambridge : $b Cambridge University Press, $c 2006.
300 $a 378 p.
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
520 $a 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.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Biology. $3 188667
655 7 $a Electronic books. $2 local. $3 214472
710 2 $a Ebooks Corporation. $3 322111
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856 4 0 $z Click here to view book $u http://dx.doi.org/10.1017/CBO9780511616785