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Modern computer intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. The new edition of the popular Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with emphasis on biological applications. It has been updated to reflect developments in methodology, computing, and applications and features extensively revised chapters on bootstrap and Monte Carlo methods that incorporate many new applications. The author also includes new information on time series, multivariate data, and survival and growth data and provides an expanded appendix on software for computer-intensive statistics.