JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 415
Type: Contributed
Date/Time: Tuesday, August 5, 2014 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract #311165
Title: A Test for Symmetry Based on the Probability Weighted Characteristic Function
Author(s): Leonard Santana*+ and James Allison and Simos Meintanis
Companies: North-West University and North-West University and Kapodistrian University of Athens
Keywords: Goodness-of-fit test ; Characteristic function ; Empirical characteristic function ; Test for Symmetry ; Probability weighted empirical characteristic function ; Bootstrap
Abstract:

We propose a new test for symmetry which employs the novel notion of the probability weighted empirical characteristic function (PWECF). The performance of the newly proposed test is compared to procedures based on the ordinary empirical characteristic function as well as to other more well-known procedures. The new tests based on the PWECF are found to compare favourably to the other more well-established procedures.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.