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This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter.

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Book Details

ISBN: 9780521608657
ISBN-10: 0521608651
Format: Paperback
(247mm x 174mm x 20mm)
Pages: 378
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 25-May-2006
Country of Publication: United Kingdom

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Author Biography - Derek A. Roff

Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside.

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