Comparing computer experiments for fitting high-order polynomial metamodels
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Authors
Johnson, Rachel T.
Montgomery, Douglas C.
Jones, Bradley
Parker, Peter T.
Subjects
optimal design
response surface
space-filling design
response surface
space-filling design
Advisors
Date of Issue
2010-01
Date
Publisher
ABI/INFORM Global
Language
Abstract
Type
Article
Description
The use of simulation as a modeling and analysis tool is wide spread. Simulation is an enabling tool for experimentally virtually on a validated computer environment. Often the underlying function for a computer experiment result has too much curvalture to be adequately modeled by a low-order polynomial. In such cases, finding an appropriate experimental design is not easy. We evaluate several computer experiments assuming the modeler is interested in fitting a high-order polynomial to the response data considering both optimal and space-filling designs. We also introduce a new class of hybrid designs that can be used for deterministic or stochastic simulation mmodels.
Series/Report No
Department
Operations Research
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Journal of Quality Technology, Jan. 2010, vo.42, no.1, pp.86-102.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.