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Sinopsis
A 2006 graduate level introduction to modern computational tools for the analysis of biological data using S-PLUS.
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Acerca del autor
Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside.
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- EditorialCambridge University Press
- Año de publicación2006
- ISBN 10 0521608651
- ISBN 13 9780521608657
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas378
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Publicado por
Cambridge University Press, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Publicado por
Cambridge University Press, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
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Paperback. Condición: Brand New. 1st edition. 368 pages. 9.25x6.75x0.50 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0521608651
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
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Cambridge University Press, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
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Introduction to Computer-intensive Methods of Data Analysis in Biology
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Cambridge University Press, Cambridge, UK, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
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Softcover. Condición: 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. Nº de ref. del artículo: 026696
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Publicado por
Cambridge University Press 2006-05-25, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
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Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9780521608657
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Publicado por
Cambridge University Press, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: 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. Nº de ref. del artículo: 594752965
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Introduction to Computer-Intensive Methods of Data Analysis in Biology
Publicado por
Cambridge University Press, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9780521608657
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Introduction to Computer-Intensive Methods of Data Analysis in Biology (Paperback)
Publicado por
Cambridge University Press, Cambridge, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
Nuevo
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Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780521608657
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Introduction to Computer-Intensive Methods of Data Analysis in Biology (Paperback)
Publicado por
Cambridge University Press, Cambridge, 2006
ISBN 10: 0521608651
ISBN 13: 9780521608657
Nuevo
Paperback
Original o primera edición
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780521608657
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