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dc.contributor.authorKinyanjui, Josphat k.
dc.contributor.authorKoske, Joseph K.
dc.contributor.authorMutiso, John M.
dc.contributor.authorCherutich, Mike R.
dc.date.accessioned2015-05-18T07:18:20Z
dc.date.available2015-05-18T07:18:20Z
dc.date.issued2012-12
dc.identifier.issn2278-0874
dc.identifier.urihttp://karuspace.karu.ac.ke/handle/20.500.12092/1723
dc.description.abstractMany practical problems are associated with the investigation of mixture of m factors, assumed to influence the response through the proportions in which they are blended together. More often, the primary concern of the experimenter is to learn more about the subsystems of interest. This study adopts the second-degree Kronecker model put forward by Draper and Pukelsheim (1998) to derive the information matrices desired. The parameter subspace of interest in this study is nonmaximal parameter subsystem which is subspace of the full parameter space. This subspace is consistent with the estimability and feasibility conditions. Information matrices are obtained by employing the Kronecker model approach and applying the canonical unit vector definitions. Results for fro information matrices for m � 2 ingredients are obtained.en_US
dc.description.sponsorshipKaratina Universityen_US
dc.language.isoenen_US
dc.publisherAmerican Journal of Mathematics and Mathematical Sciences (Open Access Journal)en_US
dc.relation.ispartofseriesAmerican Journal of Mathematics and Mathematical Sciences (Open Access Journal);Vol 1. No. 2, July -December, 2012
dc.subjectMixture experimentsen_US
dc.subjectKronecker producten_US
dc.subjectMoment matricesen_US
dc.subjectWeighted centroid designsen_US
dc.subjectInformation matricesen_US
dc.titleInformation matrices for non-maximal parameter subsystems for second-degree mixture experimentsen_US
dc.typeArticleen_US


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