Colloquium: “A Look at Permuatation (a.k.a. Randomization) Tests”

Marshall University Math Colloquium
January 27, 2016

Avishek Mallick
Marshall University

Abstract
Most of the standard statistical hypothesis testing procedures are based on the normality assumption, i.e., the data is normally distributed and also on few other assumptions. What happens if these assumptions do not hold? The answer lies in the Permutation testing approach also known as randomization or re-randomization tests. In this talk, I will discuss the randomization principle and also how these tests are impervious to complications that defeat other classical statistical significance testing techniques.

Keywords: Permutation testing, Statistical significance, Randomization, Distribution-free approach, P-values.

Contact Us:

Dept. of Mathematics
523 Smith Hall
Marshall University
1 John Marshall Drive
Huntington, WV 25755

Telephone: 304-696-6482
Facsimile: 304-696-4646
Directory: Faculty & Staff

Need Math Help?

Get a Job with Math:

Math Honor Society:

Student Resources: