Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
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Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, UK, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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In den WarenkorbSoftcover. Zustand: Very Good. 368pp. Pictorial laminated light card covers. 8vo. Light chipping to edges and wear to covers, corners starting to curl; crease to top front corner. Previous owner's label on title page. Internally, neat, clean, bright and tight.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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ISBN 10: 0521608651 ISBN 13: 9780521608657
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Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Sprache: Englisch
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ISBN 10: 0521608651 ISBN 13: 9780521608657
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In den WarenkorbZustand: 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: 172 x 245 x 19. Weight in Grams: 612. . 2006. Illustrated. paperback. . . . .
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Sprache: Englisch
Verlag: Cambridge University Press CUP, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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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: 172 x 245 x 19. Weight in Grams: 612. . 2006. Illustrated. paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Taschenbuch. 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 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
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ISBN 10: 0521846285 ISBN 13: 9780521846288
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In den WarenkorbZustand: 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. . . . .
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
Anbieter: Books Puddle, New York, NY, USA
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Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. This book introduces 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
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Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
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In den WarenkorbHardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521846285 ISBN 13: 9780521846288
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Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 368 pages. 9.25x6.75x0.50 inches. In Stock. This item is printed on demand.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Sprache: Englisch
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ISBN 10: 0521608651 ISBN 13: 9780521608657
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In den WarenkorbZustand: New. Print on Demand pp. 378 48 Illus.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521608651 ISBN 13: 9780521608657
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Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2006
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.