Title
Comparing computer experiments for the Gaussian process model using integrated prediction variance Comparing computer experiments for the Gaussian process model using integrated prediction variance
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Subject
Computer. Automation
Source (journal)
Quality engineering
Volume/pages
25(2013) :2 , p. 164-174
ISSN
0898-2112
ISI
000315685700007
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
Space-filling designs are a common choice of experimental design strategy for computer experiments. This article compares space-filling design types based on their theoretical prediction variance properties with respect to the Gaussian process model. An analytical solution for calculating the integrated prediction variance (IV) of the Gaussian process model is given. Using the analytical calculation of IV as a response variable, this article presents a study of the effects of dimension; sample size; value of parameter vector, h; and experimental design type using a factorial design and regression analysis.
E-info
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Handle