Randomization, Bootstrap and Monte Carlo Methods in Biology
“Randomization, Bootstrap and Monte Carlo Methods in Biology” by Bryan F. J. Manly, published by CRC Press LLC on April 29, 2022, is a comprehensive resource spanning 358 pages. This fourth edition emphasizes modern computer-intensive statistical methods, particularly focusing on their applications in biology. The book illustrates a variety of statistical techniques, including randomization, bootstrapping, and Monte Carlo methods, aimed at constructing confidence intervals and conducting tests of significance.
Readers will find detailed coverage of various statistical methods relevant to life sciences, including ANOVA, regression, and Bayesian analysis. The text is designed to be accessible, making it suitable for biologists, researchers, and students alike. It includes practical examples from diverse biological disciplines and provides information on computer programs and packages, particularly using R code, to facilitate the implementation of these methods. This edition serves as both a course text for graduate students and a reference for researchers, enabling practitioners to apply the methods to their own biological data effectively.
Official synopsis Publisher
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.
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