Nonparametric Methods

Nonparametric Methods

Description
We will start with an overview of some fundamentals of nonparametric statistics. Then we will consider in turn methods for a single sample, for two samples, and for multiple samples. This will be followed by discussion of correlation, concordance, and regression, as well as association and other related methods for categorical data. Finally, we will look at a variety of more "modern" nonparametric methods, such as the bootstrap and kernel density estimation.
Date
Jan 21, 2019
Tags
Statistics
These are the notes I took for a Master's course Nonparametric Methods. The recommended textbook is Applied Nonparametric Statistical Methods, Fourth Edition by Sprent, P. and Smeeton, N.C. (2007).