Stat 355 syllabus

Nonparametric Statistical Methods

Bulletin description Distribution-free analysis of location and scale

measures, non-parametric treatment of fundamental statistical

designs, nonparametric comparison procedures, association and

contingency table analysis, nonparametric goodness-of-fit

procedures, and tests for randomness, nonparametric regression and

other measures of association, computer intensive statistical

methods.

Prerequisite ST 210 or ST 315 or ST 320. Computer Lab fee.

Text Nonparametric Statistical Methods Using R, by Kloke and McKean, published by Taylor & Francis Group-ISBN: 978-1-4398-7343-4

Coverage Material to be selected by the instructor

Learning Objectives This course is designed to introduce an

alternative set of methodologies to existing and non-existing

statistical methods with emphasis on distribution-free and robust

procedures. The coverage includes distribution-free analysis of

location and scale measures. Nonparametric treatment of

fundamental statistical designs, nonparametric multiple comparison

procedures, association and contingency table analysis, goodness-of-

fit procedures. Nonparametric regression and other measures of

association and computer intensive methods. Statistical computer

software is intended to enhance the facility with applications of

various techniques covered in this course.

 

Last Updated November 18, 2015