Robust Regression and Outlier Detection
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"The writing style is clear and informal, and much of the
discussion is oriented to application. In short, the book is a
"I would highly recommend the addition of this book to the
libraries of both students and professionals. It is a useful
textbook for the graduate student, because it emphasizes both the
philosophy and practice of robustness in regression settings, and
it provides excellent examples of precise, logical proofs of
theorems. . . .Even for those who are familiar with robustness, the
book will be a good reference because it consolidates the research
in high-breakdown affine equivariant estimators and includes an
extensive bibliography in robust regression, outlier diagnostics,
and related methods. The aim of this book, the authors tell us, is
‘to make robust regression available for everyday statistical
practice.’ Rousseeuw and Leroy have included all of the
necessary ingredients to make this happen."
–Journal of the American Statistical Association
2. Simple Regression.
3. Multiple Regression.
4. The Special Case of One-Dimensional Location.
6. Outlier Diagnostics.
7. Related Statistical Techniques.
Table of Data Sets.