STAT 3480

Nonparametric and Rank-Based Statistics

Course Description

Pre-Requisite(s): A prior course in statistics

This course includes an overview of parametric vs. non-parametric methods including one-sample, two-sample, and k-sample methods; pair comparison and block designs; tests for trends and association; multivariate tests; analysis of censored data; bootstrap methods; multi-factor experiments; and smoothing methods.


Looks like this course isn't being taught this semester.

Sort by "All" in the top right to see previous semesters.