STAT 901 - Rank and Robustness

Institution:

Kansas State University

Subject:

Statistics

Description:

A study of robust and rank-based procedures for estimation and testing in one-and two-sample location problems and linear models. Topics may include; norm-based inference; asymptotic theory; asymptotic relative efficiency; evaluating robustness via the influence function and breakdown; R-estimates, M-estimates, U-statistics.

Credits:

2.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.k-state.edu

Phone Number:

(785) 532-6011

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.