EXPERIMENTAL-DESIGNS FOR MIXTURE SYSTEMS WITH MULTICOMPONENT CONSTRAINTS

被引:45
作者
SNEE, RD
机构
[1] Engineering Department, E. I. du Pont de Nemours & Co, Wilmington
来源
COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS | 1979年 / 8卷 / 04期
关键词
constrained experimentation; extreme vertices; mixture designs; mixture experiments; multicomponent constraints; product formulation;
D O I
10.1080/03610927908827762
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
In an earlier paper it was recommended that an experimental design for the study of a mixture system in which the components had lower and upper limits should consist of a subset of the vertices and centroids of the region defined by the limits on the components. This paper extends this methodology to the situation where linear combinations of two or more components (e.g., liquid content = x3 + x4 + x5 0.35) are subject to lower and upper constraints. The CONSIM algorithm, developed by R. E. Wheeler, is recommended for computing the vertices of the resulting experimental region. Procedures for developing linear and quadratic mixture model designs are discussed. A five-component example which has two multiple-component constraints is included to illustrate the proposed methods of mixture experimentation. © 1979, Taylor & Francis Group, LLC. All rights reserved.
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页码:303 / 326
页数:24
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