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Cited by 2,113

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Response surface methodology

Khuri, André I., Mukhopadhyay, Siuli·2010·WIREs Computational Statistics
DOI 10.1002/wics.73
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Abstract

The purpose of this article is to provide a survey of the various stages in the development of response surface methodology (RSM). The coverage of these stages is organized in three parts that describe the evolution of RSM since its introduction in the early 1950s. Part I covers the period, 1951–1975, during which the so‐called classical RSM was developed. This includes a review of basic experimental designs for fitting linear response surface models, in addition to a description of methods for the determination of optimum operating conditions. Part II, which covers the period, 1976–1999, discusses more recent modeling techniques in RSM, in addition to a coverage of Taguchi's robust parameter design and its response surface alternative approach. Part III provides a coverage of further extensions and research directions in modern RSM. This includes discussions concerning response surface models with random effects, generalized linear models, and graphical techniques for comparing response surface designs. Copyright © 2010 John Wiley & Sons, Inc. This article is categorized under:Statistical Models > Linear Models Statistical Models > Nonlinear Models

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Metadata

Authors
Khuri, A. I., & Mukhopadhyay, S.
Venue
WIREs Computational Statistics
Publisher
Wiley
Published
2010-03
Volume
2
Issue
2
Pages
128-149
ISSN
  • 1939-0068 (ISSN-L)
  • 1939-5108
DOI
10.1002/wics.73
OpenAlex
W2107845890
Cited by
2,113
References
77
FWCI
48.40
Type
journal article
Language
en
Open access
closed

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