9780521846288 - introduction to computer-intensive methods of data analysis in biology von derek a. roff (4 Ergebnisse)
- Hardcover
- Erstausgabe
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes KönigreichPrior Books Ltd
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EUR 30,17
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Hardcover. Zustand: Like New. First Edition. Bright and clean, firm and square, just a few very minor rubs. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Now offered for sale at a special bargai…n price.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 166,37
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Zustand: New. In.
- Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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EUR 238,38
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Zustand: New. A 2006 graduate level introduction to modern computational tools for the analysis of biological data using S-PLUS. Num Pages: 378 pages, 48 b/w illus. 30 tables. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 22. Weight in Grams: 893. . 2006. Illustrated. hardcover. . . .…. Books ship from the US and Ireland.
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- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 222,81
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 an…alysis 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.
