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Optimum designs for parameter estimation in mixture experiments with group synergism
, N.K. Mandal
Published in Bellwether Publishing, Ltd.
2021
Volume: 50
   
Issue: 9
Pages: 2001 - 2014
Abstract
Mixture models were first introduced in canonical form of different degrees to represent the response function in a mixture experiment, and designs for the same were suggested. Later, several researchers derived optimum designs for the estimation of parameters and subset of parameters of the models. In this article, a study is carried out to find the D- and A-optimum designs for estimating the parameters of the quadratic mixture model, when the components of the mixture can be divided into two groups such that within a group there is synergism among the components, while the components between groups do not exhibit any synergism. © 2019 Taylor & Francis Group, LLC.
About the journal
JournalCommunications in Statistics - Theory and Methods
PublisherBellwether Publishing, Ltd.
ISSN03610926