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Introduction to Computer-Intensive Methods of Data Analysis in Biology

Derek A. Roff

Published by Cambridge University Press
ISBN 10: 0521846285 / ISBN 13: 9780521846288
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Title: Introduction to Computer-Intensive Methods ...

Publisher: Cambridge University Press

Binding: Hardcover

Book Condition: New

Book Type: Hardcover

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Hardcover. 378 pages. Dimensions: 9.7in. x 7.0in. x 0.9in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9780521846288

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Synopsis: 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.

Book Description: This 2006 graduate text introduces some of the most common computer-intensive methods, including Maximum Likelihood, Monte Carlo and Bayesian methods. Examples of their application using biological data are provided, along with a series of software instructions for the statistical software package S-PLUS and problems and solutions are included to aid understanding.

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