JSM 2005 Online Program

Abstract #304056

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:	142
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Physical and Engineering Sciences
Abstract - #304056
Title:	Estimation of Transmitted Errors in Computer Experiments
Author(s):	Richard McGrath*+ and Arthur B. Yeh and Yu Zheng
Companies:	Bowling Green State University and Bowling Green State University and University of Florida
Address:	Applied Statistics and Operations Resear, Bowling Green, OH, 34403, United States
Keywords:	computer experiments ; variance
Abstract:	Computer experiments often are used in science and industry when physical experiments are impossible or prohibitively expensive. In many of these experiments, the relationship between inputs and outputs is deterministic in that repeating the same inputs to the computer code will provide the same outputs. This lack of experimental error makes these experiments different from physical experiments and has lead to new methods of design and analysis. These methods may be used to find desirable or optimal operating levels for the inputs. However, in actual operation, the inputs will vary somewhat around these settings. We will discuss methods of estimating the response variance transmitted by the varying inputs. Methods considered include a nearest-neighbors approach and a distance-weighted variance estimator.

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