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Resampling Methods: A Practical Guide to Data Analysis / Edition 3
     

Resampling Methods: A Practical Guide to Data Analysis / Edition 3

5.0 1
by Phillip I. Good
 

ISBN-10: 0817643869

ISBN-13: 9780817643867

Pub. Date: 09/08/2005

Publisher: Birkhauser Verlag

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

New to the

Overview

This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware.

New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.

Product Details

ISBN-13:
9780817643867
Publisher:
Birkhauser Verlag
Publication date:
09/08/2005
Edition description:
3rd ed. 2006
Pages:
218
Product dimensions:
6.14(w) x 9.25(h) x 0.36(d)

Table of Contents

Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
Which Chapter Should I Read?
Software for Resampling
Estimating Population Parameters
Comparing Two Populations
Choosing the Best Procedure
Experimental Design and Analysis
Categorical Data
Multiple Variables and Multiple Hypotheses
Model Building
Decision Trees
Answers to Selected Exercises
Bibliography
Glossary
Author Index
Subject Index

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Resampling Methods: A Practical Guide to Data Analysis 5 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago