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Bibliographic Information
Title:

Introduction to Computer-Intensive Methods of Data Analysis in Biology

Authors :

-

Type : text
Genre : book
Language : English
Content Owner :

کتابخانه دیجیتالی دانا

Descriptor :
Classification : -
Publication Status : Cambridge University Press ، 2006
Edition : -
Physical Properties : -
Summary : This 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 apos;computer-intensiveapos; 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.
Table of Content : -
Addressed :
Note :
Pages: 378
FileSize: 4 MB
Extension: pdf
Unique Id : oai:DDL:NSIIABCM_35967
Place : -
Access Condition : -
Creation Date : 2000/01/01
Modification Date : 2013/02/02
Extension : -
Submission Date : 2013/10/22
Digital Content Price : New Price - Available
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