JSM 2005 - Toronto

Abstract #304528

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. 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, 2005); 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.


The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page



Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 199
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #304528
Title: New Approaches for Finding the Minimum Volume Ellipsoid
Author(s): J. Brian Gray*+ and Eric B. Howington
Companies: The University of Alabama and Coastal Carolina University
Address: Dept of IS Statistics Mgt Science, Tuscaloosa, AL, 35487-0226, United States
Keywords: genetic algorithm ; voting procedure ; outlier ; robust estimation ; covariance estimation
Abstract:

The minimum volume ellipsoid (MVE) is a useful construct for computing robust multivariate outlier diagnostics and robust covariance matrix estimates. Exact computation of the MVE is impractical for all but the smallest datasets. A variety of approaches have been developed for approximating the MVE. We review these approaches and propose two new approaches, a direct search of the ellipsoid space using an original, matrix-based genetic algorithm and a voting procedure. The proposed methods are compared to existing techniques using real and simulated data.


  • 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 2005 program

JSM 2005 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 2005