Randomization, Bootstrap and Monte Carlo Methods in Biology

The fourth edition of Randomization, Bootstrap, and Monte Carlo Methods in Biology focuses on the use of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and doing tests of significance. It provides comprehensive coverage of computer-intensive applications, with data sets available online, and is written in an accessible style with minimal theoretical details. It is an excellent introduction to computer-intensive statistical methods for biological researchers and can be used as a course text for graduate students and a reference for researchers from a range of disciplines.

Format: Paperback / softback
Length: 358 pages
Publication date: 29 April 2022
Publisher: Taylor & Francis Ltd

Modern computer-intensive statistical methods play a pivotal role in solving a diverse array of problems across numerous scientific disciplines. Similar to its predecessors, the fourth edition of Randomization, Bootstrap, and Monte Carlo Methods in Biology vividly showcases a multitude of statistical techniques, with a particular emphasis on biological applications. The current focus revolves around the utilization of randomization, bootstrapping, and Monte Carlo methods in constructing confidence intervals and conducting tests of significance. This comprehensive text offers thorough coverage of computer-intensive applications, with readily accessible data sets available online.

Key Features:

Provides an overview of computer-intensive statistical methods and their applications in biology.

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

Makes the methods accessible to biologists, researchers, and students, facilitating their understanding.

Offers insights into computer programs and packages for implementing calculations, particularly utilizing R code.

Includes numerous real-world examples from various biological disciplines.

Written in an accessible style, with minimal theoretical coverage, this book serves as an excellent introduction to computer-intensive statistical methods for biological researchers. It can also be used as a course text for graduate students and serves as a valuable reference for researchers from diverse fields. The detailed, worked examples of real applications empower practitioners to apply these methods to their own biological data.

Weight: 660g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367512873
Edition number: 4 ed