JSM 2012 Home

JSM 2012 Online Program

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

Online Program Home

Abstract Details

Activity Number: 653
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
Sponsor: Quality and Productivity Section
Abstract - #303946
Title: Design of Experiments for Interpolation-Based Metamodels
Author(s): Min Li*+ and Jack Chen
Companies: California State University Sacramento and BASF Corporation
Address: 3635 Lewiston Rd., West Sacramento, CA, 95691, United States
Keywords: Kriging Metamodel ; Experimental Design
Abstract:

A metamodel is a simplified mathematical description of a simulation model that represents the system's input-output relationship with a function. In many situations, we may not need a single formula to describe the systems being simulated. Interpolation-based metamodels are useful for providing a simple and easy form to provide estimates at non-design points and to communicate the input-output relationship. This paper proposes a new approach to select an experimental design for interpolation-based metamodels. The algorithm dynamically increases the sample size and the number of design points so that the estimates obtained via the metamodel satisfy the pre-specified precision. An experimental performance evaluation demonstrates the validity of interpolation-based metamodels.


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 2012 program




2012 JSM Online Program Home

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.