1st Edition
Nonparametric Methods in Statistics with SAS Applications
Hypotheses Testing for Two Samples
Sign Test for Location Parameter for Matched Paired Samples
Wilcoxon Signed-Rank Test for Location Parameter for Matched Paired Samples
Wilcoxon Rank-Sum Test for Location Parameter for Two Independent Samples
Ansari-Bradley Test for Scale Parameter for Two Independent Samples
Kolmogorov-Smirnov Test for Equality of Distributions
Hypotheses Testing for Several Samples
Friedman Rank Test for Location Parameter for Several Dependent Samples
Kruskal-Wallis H-Test for Location Parameter for Several Independent Samples
Tests for Categorical Data
Spearman Rank Correlation Coefficient Test
Fisher Exact Test
Nonparametric Regression
Loess Regression
Thin-Plate Smoothing Spline Method
Nonparametric Generalized Additive Regression
Definition
Nonparametric Binary Logistic Model
Nonparametric Poisson Model
Time-to-Event Analysis
Kaplan-Meier Estimator of Survival Function
Log-Rank Test for Comparison of Two Survival Functions
Cox Proportional Hazards Model
Univariate Probability Density Estimation
Histogram
Kernel Density Estimator
Resampling Methods for Interval Estimation
Jackknife
Bootstrap
Appendix A: Tables
Appendix B: Answers to Exercises
Recommended Books
Index of Notation
Index
Exercises appear at the end of each chapter.
Biography
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.
"… just what I have been looking for. The purpose of the book is to teach master’s students applications of popular nonparametric methods making use of SAS 9.3 software. … My favorite feature of this book is that it has many examples and exercises. The examples are carefully chosen from various areas such as education, psychology, and clinical trials. Each chapter contains a collection of exercises with datasets and the larger ones can be downloaded from author’s book website. The author also offers a solution manual for all exercises … a great reference for students and practitioners who are interested in using SAS to apply nonparametric methods."
—The American Statistician, February 2015
