Nonparametric Methods in Statistics with SAS Applications

This book teaches students how to apply nonparametric techniques to statistical data from hypotheses to regression modeling, time-to-event analysis, density estimation, and resampling methods. SAS codes for all examples are given in the text. Data sets for the exercises are available.

Olga Korosteleva is an associate professor of statistics in the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She received a Ph.D. in statistics from Purdue University.

Hypotheses Testing for Two Samples. Hypotheses Testing for Several Samples. Tests for Categorical Data. Nonparametric Regression. Nonparametric Generalized Additive Regression. Time-to-Event Analysis. Univariate Probability Density Estimation. Resampling Methods for Interval Estimation. Appendices. Recommended Books. Index of Notation. Index.