Response surface methodology

被引:1575
作者
Khuri, Andre I. [1 ]
Mukhopadhyay, Siuli [2 ]
机构
[1] Univ Florida, Dept Stat, Gainesville, FL 32611 USA
[2] Indian Inst Technol, Dept Math, Bombay 40076, Maharashtra, India
关键词
graphical procedures; generalized linear models; multiresponse experiments; random effects; robust parameter designs;
D O I
10.1002/wics.73
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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. (C) 2010 John Wiley & Sons, Inc.
引用
收藏
页码:128 / 149
页数:22
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