Suggestions for Your Nonparametric Statistics Course

Nonparametric Statistics

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Using SAS for Nonparametric Statistics

Definition A nonparametric procedure is a statistical procedure that has certain desirable properties that hold under relatively mild assumptions regarding the underlying population(s) from which the data are obtained – Hollander and Wolfe. The definition is not only vague but it is also extremely inclusive. “Statistical procedure” can refer to a test or an estimator. There are a number of new ...

Kernel Smoothers: An overview of curve estimators for the first graduate course in nonparametric statistics

An introduction to nonparametric regression is accomplished with selected real data sets, statistical graphics, and simulations from known functions. It is pedagogically effective for many to have some initial intuition about what the techniques are and why they work. Visual displays of small examples along with the plots of several types of smoothers are a good beginning. Some students benefit...

Nonparametric statistics on manifolds

This article presents certain recent methodologies and some new results for the statistical analysis of probability distributions on manifolds. An important example considered in some detail here is the 2-D shape space of k-ads, comprising all configurations of k planar landmarks (k > 2)-modulo translation, scaling and rotation.

Nonparametric Statistics, ENAR