大葉大學圖書館 |

Introduction to computer-intensive methods of data analysis in biology /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	570.285
[NT 47271] Title/Author:	Introduction to computer-intensive methods of data analysis in biology // Derek A. Roff.
作者:	Roff, Derek A.,
面页册数:	1 online resource (vii, 368 pages) : : digital, PDF file(s).
附注:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
标题:	Biology - Data processing.
ISBN:	9780511616785 (ebook)
[NT 15000228] null:	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.
[NT 15000229] null:	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.
电子资源:	http://dx.doi.org/10.1017/CBO9780511616785

Introduction to computer-intensive methods of data analysis in biology /
Roff, Derek A.,1949-

Introduction to computer-intensive methods of data analysis in biology /Derek A. Roff. - 1 online resource (vii, 368 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

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.

ISBN: 9780511616785 (ebook)Subjects--Topical Terms:

559124
Biology
--Data processing.

LC Class. No.: QH324.2 / .R62 2006

Dewey Class. No.: 570.285

Introduction to computer-intensive methods of data analysis in biology /
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