JSM 2004 - Toronto

Abstract #302002

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2004 Program page
Activity Number: 341
Type: Contributed
Date/Time: Wednesday, August 11, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #302002
Title: Analysis of Heteroscedastic Multifactor Designs with Large Number of Factor Levels
Author(s): Haiyan Wang*+ and Michael G. Akritas
Companies: Pennsylvania State University and Pennsylvania State University
Address: 200 N. Danielle Dr., APT 328, Pleasant Gap, PA, 16823,
Keywords: rank tests ; unbalanced designs ; nonparametric hypotheses ; asymptotic theory of quadratic forms ; projection method
Abstract:

Testing methods for ANOVA designs where some of the factors have a large number of levels have received a lot of attention recently. Most attention, however, has been restricted to procedures using the original observations, either in the balanced homoscedastic case or with no more than two factors. We consider possibly unbalanced and heteroscedastic multifactor designs. Such procedures require strong moment assumptions and are sensitive to outliers. Thus we also develop (mid-)rank procedures for the same general setting. The main asymptotic tools are the asymptotic rank transform and Hajek's projection method. Simulation results show that the present rank statistics outperform those based on the original observations, in terms of both Type I and Type II error rates. A real dataset from a microarray experiment is analyzed.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2004 program

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004