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Table of contents
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1 - INTRODUCTION
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2 - PROBABILITY AND RELATED CONCEPTS
Pages 17-53 - Book chapterNo access
3 - SUMMARIZING DATA
Pages 55-91 - Book chapterNo access
4 - SAMPLING DISTRIBUTIONS AND CONFIDENCE INTERVALS
Pages 93-140 - Book chapterNo access
5 - HYPOTHESIS TESTING
Pages 141-172 - Book chapterNo access
6 - LEAST SQUARES REGRESSION AND PEARSON'S CORRELATION
Pages 173-206 - Book chapterNo access
7 - BASIC BOOTSTRAP METHODS
Pages 207-235 - Book chapterNo access
8 - COMPARING TWO INDEPENDENT GROUPS
Pages 237-284 - Book chapterNo access
9 - ONE-WAY ANOVA
Pages 285-328 - Book chapterNo access
10 - TWO-WAY ANOVA
Pages 329-360 - Book chapterNo access
11 - COMPARING DEPENDENT GROUPS
Pages 361-406 - Book chapterNo access
12 - MULTIPLE COMPARISONS
Pages 407-456 - Book chapterNo access
13 - ROBUST AND EXPLORATORY REGRESSION
Pages 457-515 - Book chapterNo access
14 - MORE REGRESSION METHODS
Pages 517-555 - Book chapterNo access
15 - RANK-BASED AND NONPARAMETRIC METHODS
Pages 557-608 - Book chapterNo access
APPENDIX A - Solutions to Selected Exercises
Pages A-1-A-5 - Book chapterNo access
APPENDIX B - Tables
Pages B-1-B-26 - Book chapterNo access
APPENDIX C - Basic Matrix Algebra
Pages C-1-C-6 - Book chapterNo access
REFERENCES
Pages R-1-R-12 - Book chapterNo access
INDEX
Pages I-1-I-4
About the book
Description
Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible.
Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible.
Key Features
* Assumes no previous training in statistics
* Explains how and why modern statistical methods provide more accurate results than conventional methods
* Covers the latest developments on multiple comparisons
* Includes recent advances in risk-based methods
* Features many illustrations and examples using data from real studies
* Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques
* Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books
* Assumes no previous training in statistics
* Explains how and why modern statistical methods provide more accurate results than conventional methods
* Covers the latest developments on multiple comparisons
* Includes recent advances in risk-based methods
* Features many illustrations and examples using data from real studies
* Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques
* Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books
Details
ISBN
978-0-12-751541-0
Language
English
Published
2003
Copyright
Copyright © 2003 Elsevier Inc. All rights reserved
Imprint
Academic Press