Title: How to relax inconsistent constraints in a mixture experiment
Authors: Goos, Peter ×
Vandebroek, Martina #
Issue Date: Jan-2001
Publisher: Elsevier science bv
Series Title: Chemometrics and intelligent laboratory systems vol:55 issue:1-2 pages:147-149
Abstract: Unconstrained mixture experiments seldomly occur in practice and the constraints imposed on the component proportions considerably complicate the design of the experiment. In addition, the constraints initially specified by the engineers often leave the statistician with an empty design region. In this technical note, we show how integer programming may help the statistician to relax one or more constraints in order to remove the inconsistency. (C) 2001 Elsevier Science B.V. All rights reserved.
ISSN: 0169-7439
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven
× corresponding author
# (joint) last author

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