Robust Nonparametric Statistical Methods
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.
Hodder Education Publishers
Citation for published book
Hettmansperger, McKean, & McKean, Joseph W. (1998). Robust nonparametric statistical methods / T.P. Hettmansperger, J.W. McKean. (Kendall's library of statistics ; 5).
Hettmansperger, T. P. and McKean, J. W., "Robust Nonparametric Statistical Methods" (1998). All Books and Monographs by WMU Authors. 579.