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    D-Optimal Designs for Third-Degree Kronecker Model Mixture Experiments with an Application to Artificial Sweetener Experiment

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    Date
    2014
    Author
    Kinyanyui, Josphat
    Kungu, Peter
    Ronoh, Benard
    Korir, Betty
    rutto, Mike
    Koske, Joseph
    Kerich, Gregory
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    Abstract
    This study investigates some optimal designs in the third degree Kronecker model mixture experiments for non-maximal subsystem of parameters, where Kiefer’s functions serve as optimality criteria. Based on the completeness result, the considerations are restricted to weighted centroid designs. First, the coefficient matrix and the associated parameter subsystem of interest using the unit vectors and a characterization of the feasible weighted centroid design for a maximal parameter subsystem is obtained. Once the coefficient matrix is obtained, the information matrices associated with the parameter subsystem of interest are generated for the corresponding factors. We apply the optimality criteria to evaluate the designs.
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    https://karuspace.karu.ac.ke/handle/20.500.12092/2345
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    • Department of Mathematics, Statistics and Actuarial Sciences [9]

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