Response-Surface Designs for Quantitative and Qualitative Variables
作者:
NormanR. Draper,
J.A. John,
期刊:
Technometrics
(Taylor Available online 1988)
卷期:
Volume 30,
issue 4
页码: 423-428
ISSN:0040-1706
年代: 1988
DOI:10.1080/00401706.1988.10488437
出版商: Taylor & Francis Group
关键词: Classification variable;Composite design;Dummy variable;Experimental design;Factorial design
数据来源: Taylor
摘要:
When some variables are quantitative and some qualitative in a response-surface context, standard designs may not be suitable. The reasons for this are illuminated. Some alternative designs are discussed. Everyn-point design providesnlinearly independent estimation contrasts. Some of these,psay, are needed to estimate thepparameters of the postulated model. The remainingn—plinearly independent estimation contrasts are available to estimate pure error (if used) and to test for lack of fit, either overall or in particular ways. The key to choosing a good design is to use the available degrees of freedom well, given certain assumptions about the model to be fitted. When there is also uncertainty about the model assumptions, dogmatic design advice is not possible. Sound guidelines are available, however, and these are presented and illustrated.
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