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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. 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, survival, and growth data and provides an expanded appendix on software for computational statistics.