http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Introduction to robust estimation and hypothesis testing
1 online resource (xxi, 690 pages) : illustrations
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. * Covers latest developments in robust regression * Covers latest improvements in ANOVA * Includes newest rank-based methods * Describes and illustrated easy to use software.
"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
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.
Includes bibliographical references and index.
Statistical modeling and decision science
Amsterdam ; Boston : Academic Press, 2012
1104488:10156763 Elsevier Science & Technology