Abstract #301943

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); 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 2003 Program page
JSM 2003 Abstract #301943
Activity Number: 228
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #301943
Title: Large Incomplete Factorial Designs and Uncertainty Analysis of Computer Models
Author(s): Max D. Morris*+ and Leslie M. Moore and Michael D. McKay
Companies: Iowa State University and Los Alamos National Laboratory and Los Alamos National Laboratory
Address: Department of Statistics, Ames, IA, 50011-1210,
Keywords: computer models ; experimental design ; sensitivity analysis ; total variation ; main-effect variation ; input screening
Abstract:

In uncertainty analysis, computer models are executed for input vectors selected by a restricted random process. In some of these schemes, the analysis can be framed as a random-effects ANOVA, with the selected values of the input vectors forming a series of incomplete factorial designs. We use this observation to generalize the class of designs in present use, and compare the performance of designs in this class.

  • 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 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003