Experimental designs for mixture systems with multicomponent constraints
- 1 January 1979
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 8 (4) , 303-326
- https://doi.org/10.1080/03610927908827762
Abstract
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 limitson the components. This paper extends this methodology to the situation where linear combinations of two or more components (e.g., liquid content=x3+x4+≦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.Keywords
This publication has 16 references indexed in Scilit:
- Asymptotic behaviour of classification maximum likelihood estimatesBiometrika, 1978
- Test Statistics for Mixture ModelsTechnometrics, 1974
- Generating All the Faces of a PolyhedronSIAM Journal on Applied Mathematics, 1974
- The Mixture Problem for Categorized ComponentsJournal of the American Statistical Association, 1970
- Optimal and Efficient Designs of ExperimentsThe Annals of Mathematical Statistics, 1969
- Computer Aided Design of ExperimentsTechnometrics, 1969
- Extreme Vertices Design of Mixture ExperimentsTechnometrics, 1966
- An Algorithm for Finding All Vertices of Convex Polyhedral SetsJournal of the Society for Industrial and Applied Mathematics, 1961
- Multi-Factor Experimental Designs for Exploring Response SurfacesThe Annals of Mathematical Statistics, 1957
- Optimum Allocation in Linear Regression TheoryThe Annals of Mathematical Statistics, 1952