Introduction To Computer-Intensive Methods Of Data Analysis In Biology - Roff Derek A. | Libro Cambridge University Press 05/2006 - HOEPLI.it


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Introduction to Computer-Intensive Methods of Data Analysis in Biology




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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 05/2006





Trama

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.




Note Editore

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.




Sommario

1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text.




Prefazione

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.




Autore

Derek A. Roff is a Professor in the Department of Biology at the University of California, Riverside.







Altre Informazioni

ISBN:

9780521608657

Condizione: Nuovo
Dimensioni: 244 x 20 x 170 mm Ø 600 gr
Formato: Brossura
Illustration Notes:48 b/w illus. 30 tables
Pagine Arabe: 378






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