Randomization, Bootstrap and Monte Carlo Methods in Biology

By Bryan F.J. Manly and Jorge A. Navarro Alberto

Book Overview

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications.

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 Carlo Methods in Biology, Third Edition supplies a solid foundation for the ever-expanding field of statistics and quantitative analysis in biology.

• Format: Hardcover
• Language: English
• ISBN: 1584885416
• ISBN13: 9781584885412
• Release Date: August 2006
• Publisher: CRC Press
• Length: 480 Pages
• Weight: 1.80 lbs.
• Dimensions: 1.2" x 6.3" x 9.6"

Customer Reviews

Good alternative to Manly's book on Randomization, Bootstrap and Monte carlo methods

This book was originally purchased to get a better understanding of Monte Carlo techniques used in biological data analyses. I compared it to Manly's more expensive book: Randomization, Bootstrap and Monte Carlo Methods in Biology, and found this edition provided most of the same information, albeit with slightly less information. It does give an adequate overview of Monte Carlo simulations and covers the use of randomization techniques in regression analysis.