When

Start: 03/11/2010 - 4:15pm

End : 03/11/2010 - 5:15pm

End : 03/11/2010 - 5:15pm

Category

Statistics/OR/Math Finance Seminar

Speaker

Anna Bargagliotti, University of Memphis

Abstract

Oftentimes nonparametric statistical methods are included as the last chapter

in a textbook. Typical statistics survey courses may either skip this chapter completely or

briefly cover the material at the end of the course. Because of this structure, students have

little exposure to nonparametric methods and may consider them as entirely separate from

the other statistics they have learned. Moreover, the nonparametric methods introduced

are typically very limited with much emphasis placed on step-by-step calculations and

little emphasis placed on intuition and motivation. However, many interesting research

problems and real-life situations require the knowledge of nonparametric statistics.

By characterizing the typically covered nonparametric methods using an overarching

unifying framework, we can provide students with intuition and the ability to make deep

connections to other mathematical content such as linear algebra, parametric statistics,

representation theory, and group theory. In this talk, I will introduce this framework

and illustrate some interesting problems that can be thought about and developed in a

statistics course.

Where

Sprague Library
Harvey Mudd College
3rd Floor Seminar Space

Misc. Information

Refreshments at 4pm

__Claremont Graduate University__ | __Claremont McKenna__ | __Harvey Mudd__ | __Pitzer__ | __Pomona__ | __Scripps__

Proudly Serving Math Community at the Claremont Colleges Since 2007

Copyright © 2018 Claremont Center for the Mathematical Sciences