Randomization, Bootstrap and Monte Carlo Methodology in Biology / Edition 2

Randomization, Bootstrap and Monte Carlo Methodology in Biology / Edition 2

by Bryan F.J. Manly
     
 

ISBN-10: 0412721309

ISBN-13: 9780412721304

Pub. Date: 03/01/1997

Publisher: Taylor & Francis

Modern computer intensive methods are invaluable in the solution of a wide range of problems. The second edition of this popular text illustrates the value of these techniques with particular emphasis on biological applications. Randomization, Bootstrap and Monte Carlo Methods in Biology has been updated with the very latest research, with new chapters on…  See more details below

Overview

Modern computer intensive methods are invaluable in the solution of a wide range of problems. The second edition of this popular text illustrates the value of these techniques with particular emphasis on biological applications. Randomization, Bootstrap and Monte Carlo Methods in Biology has been updated with the very latest research, with new chapters on bootstrapping, survival and growth data and Bayesian Markov chain Monte Carlo methods. The examples in the text have been carefully chosen and include the controversial topics of whether there is periodicity in fossil extinction records and whether there is evidence for a relationship between co-occurrences of species on islands. Graduate students and researchers at all levels in biological and medical departments will need to read this book, it will be valued by biologists, biometricians and statisticians working in government departments, research stations and private industry who carry out analyses themselves, or who need to understand others' analyses.

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Product Details

ISBN-13:
9780412721304
Publisher:
Taylor & Francis
Publication date:
03/01/1997
Series:
Texts in Statistical Science Series
Edition description:
Older Edition
Pages:
424
Product dimensions:
6.35(w) x 9.44(h) x 0.90(d)

Table of Contents

Preface to the second edition
Preface to the first edition
1Randomization1
2The jackknife24
3The bootstrap34
4Monte Carlo methods69
5Some general considerations79
6One- and two-sample tests91
7Analysis of variance117
8Regression analysis148
9Distance matrices and spatial data172
10Other analyses on spatial data205
11Time series225
12Multivariate data260
13Survival and growth data284
14Non-standard situations300
15Bayesian methods330
16Conclusion and final comments338
AppendixSoftware for computer-intensive statistics341
References343
Author index377
Subject index388

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