By
Rand Wilcox, University of Southern California
Rand Wilcox, University of Southern California
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.
Included in series
Statistical Modeling and Decision Science
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.
