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Synopsis
A 2006 graduate level introduction to modern computational tools for the analysis of biological data using S-PLUS.
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À propos de l?auteur
Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside.
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Edité par
Cambridge University Press, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Ancien ou d'occasion
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Hardcover. Etat : 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. N° de réf. du vendeur 121631
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Edité par
Cambridge University Press, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Ancien ou d'occasion
Couverture rigide
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
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Cambridge University Press, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
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Cambridge Univ Pr, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
Couverture rigide
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Edité par
Cambridge University Press, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
Couverture rigide
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Edité par
Cambridge University Press, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : 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. N° de réf. du vendeur 594764618
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Introduction to Computer-Intensive Methods of Data Analysis in Biology (Hardcover)
Edité par
Cambridge University Press, Cambridge, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
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Hardcover. Etat : 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. N° de réf. du vendeur 9780521846288
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Introduction to Computer-Intensive Methods of Data Analysis in Biology (Hardcover)
Edité par
Cambridge University Press, Cambridge, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
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Hardcover. Etat : 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 UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521846288
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Edité par
Cambridge University Press, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
Couverture rigide
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Introduction to Computer-Intensive Methods of Data Analysis in Biology (Hardcover)
Edité par
Cambridge University Press, Cambridge, 2006
ISBN 10 : 0521846285
ISBN 13 : 9780521846288
Neuf
Couverture rigide
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : 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 multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780521846288
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