Robust Nonparametric Statistical Methods

Front Cover
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.

What people are saying - Write a review

We haven't found any reviews in the usual places.

Other editions - View all

About the author (1998)

Thomas P. Hettmansperger is in the department of Statistics, Pennsylvania State University. Joseph W. McKean is in the Department of Mathematics and Statistics, Western Michigan University.