A 2006 graduate level introduction to modern computational tools for the analysis of biological data using S-PLUS.
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Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside.
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Destinazione, tempi e costiDa: Prior Books Ltd, Cheltenham, Regno Unito
Hardcover. Condizione: 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 bargain price. Codice articolo 121631
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Da: Labyrinth Books, Princeton, NJ, U.S.A.
Condizione: Good. Codice articolo 088379
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 378 48 Illus. Codice articolo 7447160
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9780521846288_new
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Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. illustrated edition. 376 pages. 9.50x7.00x0.87 inches. In Stock. This item is printed on demand. Codice articolo __0521846285
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Da: moluna, Greven, Germania
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 instruct. Codice articolo 594764618
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 923. Codice articolo C9780521846288
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 378. Codice articolo 26400807
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Da: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condizione: new. Hardcover. 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 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780521846288
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. pp. 378 Diagrams. Codice articolo 18400813
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