Randomization, Bootstrap and Monte Carlo Methodology in Biology FROM THE PUBLISHER
Modern computer intensive methods are invaluable in the solution of a wide range of problems. The second edition of this popular text illustrates the value of these techniques with particular emphasis on biological applications. Randomization, Bootstrap and Monte Carlo Methods in Biology has been updated with the very latest research, with new chapters on bootstrapping, survival and growth data and Bayesian Markov chain Monte Carlo methods. The examples in the text have been carefully chosen and include the controversial topics of whether there is periodicity in fossil extinction records and whether there is evidence for a relationship between co-occurrences of species on islands. Graduate students and researchers at all levels in biological and medical departments will need to read this book, it will be valued by biologists, biometricians and statisticians working in government departments, research stations and private industry who carry out analyses themselves, or who need to understand others' analyses.
FROM THE CRITICS
Booknews
Manly (statistics, U. of Otago, New Zealand) illustrates the value of modern computer intensive methods, emphasizing biological applications and providing new chapters on bootstrapping, survival and growth data and Bayesian Markov chain Monte Carlo methods. Examples include the controversial topics of whether there is periodicity in fossil extinction records and whether there is evidence for a relationship between co-occurences of species on islands. Annotation c. by Book News, Inc., Portland, Or.
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