Title
A weighted prediction-based selection criterion for response surface designs A weighted prediction-based selection criterion for response surface designs
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Chichester ,
Subject
Economics
Engineering sciences. Technology
Computer. Automation
Source (journal)
Quality and reliability engineering international. - Chichester
Volume/pages
27(2011) :5 , p. 719-729
ISSN
0748-8017
ISI
000293802800012
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The goal of response surface designs is typically to make precise predictions. A commonly used prediction-based design selection criterion isitV-optimality, which seeks designs that minimize the average prediction variance over the entire experimental region. We propose an alternative criterion, which seeks designs that yield small prediction variances particularly in those parts of the experimental region where a response is expected to be interesting, important, or desirable. The new criterion is a weighted V-optimality criterion, which attaches higher weights to areas with such interesting outcomes. The weights in the new criterion are derived from a logistic regression model. We illustrate the value of the new criterion using an example from the automotive industry.
E-info
https://repository.uantwerpen.be/docman/iruaauth/b0f2d6/54b36485e3a.pdf
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