An introduction to nonparametric statistics /
John E. Kolassa.
- First edition.
- ix, 212 pages ; 24 cm.
- Chapman & Hall/CRC texts in statistical science series .
Includes bibliographical references and index.
Background -- One-sample nonparametric inference -- Two-sample testing -- Methods for three or more groups -- Group difference with blocking -- Bivariate methods -- Multivariate analysis -- Density estimation -- Regression function estimates -- Resampling techniques -- Appendix A. Analysis using the SAS system -- Appendix B. Construction of heuristic tables and figures using R.
"This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students"--