Resampling Methods: A Practical Guide to Data Analysis / Edition 1

Resampling Methods: A Practical Guide to Data Analysis / Edition 1

by Phillip I. Good, P. Good
     
 

ISBN-10: 0817640916

ISBN-13: 9780817640910

Pub. Date: 04/28/1999

Publisher: Birkhauser Verlag

This new book is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It is an essential resource for industrial statisticians, statistical consultants, and researcher professionals in science, engineering, and technology. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data…  See more details below

Overview

This new book is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. It is an essential resource for industrial statisticians, statistical consultants, and researcher professionals in science, engineering, and technology. 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. Students, professionals, and researchers will find it a particularly useful guide to modern resampling methods and their applications.

Product Details

ISBN-13:
9780817640910
Publisher:
Birkhauser Verlag
Publication date:
04/28/1999
Pages:
282
Product dimensions:
6.36(w) x 9.50(h) x 0.73(d)

Table of Contents

1Software for resampling1
2Estimating population parameters5
3Comparing two populations31
4Choosing the best procedure61
5Experimental design and analysis77
6Categorical data109
7Multiple variables and multiple hypotheses129
8Model building143
9Decision trees171

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >