Robust Nonparametric Statistical Methods

by Thomas P. Hettmansperger, Joseph W. McKean

Based in ranks of the data, this book offers an alternative to the traditional least squares approach. Topics include one- and two-sample location models, linear models (including multiple regression and designed experiments), and multivariate models. Rank tests and estimates for all models
are developed, including bounded influence and high breakdown methods. Emphasis is on efficiency and robustness and all methods are illustrated on data sets.

484 pages, Hardcover

First published July 29, 1998