STAT 5660 - Nonparametric Statistical Methods

This course presents a broad overview of statistical methods commonly referred to as nonparametric or distribution-free methods. Topics include: inferences for proportions, contingency tables, goodness of fit problems, estimation and hypothesis testing based on ranking methods, measures of rank correlation, efficiency. Emphasis will be on the application of nonparametric statistical methods to data from many different applied fields.

Prerequisites/Corequisites: Prerequisite: An introductory statistics course such as STAT 2600 or STAT 3640.

Credits: 3 hours

Notes: Open to Upperclass and Graduate Students. Undergraduates with junior or senior standing and 12 or more credit hours of work in mathematics and statistics may enroll in 5000-level courses with prior approval of the department chairperson.