Randomization, Bootstrap and Monte Carlo Methods in Biology

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Synopsis

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. Like its bestselling predecessors, the fourth edition of Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates a large number of statistical methods with an emphasis on biological applications. The focus is now on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. The text provides comprehensive coverage of computer-intensive applications, with data sets available online.

Features


Presents an overview of computer-intensive statistical methods and applications in biology


Covers a wide range of methods including bootstrap, Monte Carlo, ANOVA, regression, and Bayesian methods


Makes it easy for biologists, researchers, and students to understand the methods used


Provides information about computer programs and packages to implement calculations, particularly using R code


Includes a large number of real examples from a range of biological disciplines


Written in an accessible style, with minimal coverage of theoretical details, this book provides an excellent introduction to computer-intensive statistical methods for biological researchers. It can be used as a course text for graduate students, as well as a reference for researchers from a range of disciplines. The detailed, worked examples of real applications will enable practitioners to apply the methods to their own biological data.

Book details

Edition:
4
Series:
Chapman & Hall/CRC Texts in Statistical Science
Author:
Bryan F.J. Manly, Jorge A. Navarro Alberto
ISBN:
9781000080544
Related ISBNs:
9780429329203, 9780367349943, 9780367349943, 9780367512873, 9780367512873
Publisher:
CRC Press
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-07-20
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
CRC Press 
Adult content:
No
Language:
English
Categories:
Mathematics and Statistics, Nonfiction