Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition, is a textbook that explains the theoretical foundations of robust statistical methods and guides readers through practical problem-solving strategies.

The volume addresses robust analysis of variance, rank-based procedures, and robust regression techniques. It provides historical context for modern developments while using real-world examples to demonstrate how alternative methods perform across varied data conditions.

Designed for advanced graduate students and applied researchers who rely on regression and ANOVA, the text supports quantitative methods courses across psychology, economics, mathematics, health, and biological sciences. In this third edition, software support shifted exclusively to R functions.