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| INTRODUCTION TO ROBUST ESTIMATION AND HYPOTHESIS TESTING
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To order this title, and for more information, click here
Second Edition
By
Rand Wilcox, University of Southern California
Included in series
Statistical Modeling and Decision Science,
Description
This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus,
robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies
used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the
new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various
methods perform in different situations.
Introduction to Robust Estimation and Hypothesis Testing, Second Edition,
focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among
groups and true associations among variables.
Audience
Advanced graduate students interested in applying cutting-edge methods for analyzing data. Also, any applied researcher who uses ANOVA
or regression will benefit. A typical course would be Quantitative Methods found in Mathematics, Economics, Health and Biological Sciences
and Psychology departments.
Contents
Preface, 1. Introduction; 2. A Foundation for Robust Methods; 3. Estimating Measures of Location and Scale; 4. Confidence Intervals in
the One-Sample Case; 5. Comparing Two Groups; 6. Some Multivariate Methods; 7. One-Way and Higher Designs for Independent Groups; 8.
Comparing Multiple Dependent Groups; 9. Correlation and Tests of Independence; 10. Robust Regression; 11. More Regression Methods
| Bibliographic details |
Hardbound, 608 pages, publication date: DEC-2004
ISBN-13: 978-0-12-751542-7
ISBN-10: 0-12-751542-9
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
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USD 116
GBP 72
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Last update: 7 Sep 2009
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