Publication
Title
A weighted prediction-based selection criterion for response surface designs
Author
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.
Language
English
Source (journal)
Quality and reliability engineering international. - Chichester
Publication
Chichester : 2011
ISSN
0748-8017
Volume/pages
27:5(2011), p. 719-729
ISI
000293802800012
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 22.08.2011
Last edited 11.11.2017
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