Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/7397
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dc.contributor.authorMutiso, John M.-
dc.contributor.authorKoske, Joseph-
dc.contributor.authorNjoroge, Elizabeth-
dc.contributor.authorMutiso, John-
dc.contributor.authorMutiso, Joseph-
dc.date.accessioned2023-03-20T09:28:36Z-
dc.date.available2023-03-20T09:28:36Z-
dc.date.issued2020-
dc.identifier.urihttp://pubs.sciepub.com/amp/8/1/4/index.html-
dc.identifier.urihttp://ir.mu.ac.ke:8080/jspui/handle/123456789/7397-
dc.description.abstractThis paper aims at investigating and comparing the D- and G-optimal criteria for non-pure blends slope designs. The study used a parameter subsystem of interest based on the second-degree Kronecker model to obtain the H-invariant information matrices for both Equally Weighted Simplex Centroid Axial Design and Un-equally Weighted Simplex Centroid Axial Design. The D- and G- optimal values worked out revealed that the centroid achieved the best D- and G-optimality values and that the best D-efficient and G-efficient design points were with 105.71% and 99.76% respectively. The latter design was more D-efficient while former design was more G-efficient.en_US
dc.language.isoenen_US
dc.publisherSciepuben_US
dc.subjectG-efficienten_US
dc.titleD-and G-Optimal Axial slope designs for four ingredient mixtureen_US
dc.typeArticleen_US
Appears in Collections:School of Biological and Physical Sciences

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