author : Bryan F. J. Manly

This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals.

New to the Third Edition

• Updated information on regression and time series analysis, multivariate methods, survival and growth data, as well as software for computational statistics
• References that reflect recent developments in methodology and computing techniques
• Additional references on new applications of computer-intensive methods in biology

Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Cario Methods In Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

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
• Features a clear, accessible style that makes it easy for biologists, researchers, and students to understand the methods discussed
• Provides information on computer programs and packages to implement calculations
• Includes a large number of real, up-to-date examples from a range of disciplines, particularly in the biological sciences
• Contains summaries and exercises for each chapter, making it suitable for courses and self-study