Open AccessExploration of D-, A-, I- and G- Optimality Criteria in Mixture Modeling
Author(s) -
Samson W. Wanyonyi,
Ayubu Anapapa Okango,
Julius Koech
Publication year - 2021
Publication title -
asian journal of probability and statistics
Language(s) - English
Resource type - Journals
ISSN - 2582-0230
DOI - 10.9734/ajpas/2021/v12i430292
Subject(s) - context (archaeology) , optimality criterion , variable (mathematics) , computer science , optimal design , mathematical optimization , process (computing) , mathematics , mixture model , statistics , mathematical analysis , paleontology , biology , operating system
A design optimality criterion, such as D-, A-, I-, and G- optimality criteria, is often used to analyze, evaluate and compare different designs options in mixture modeling test. A mixture test is an experiment where the descriptive variable and response rely only on the mixture's relative ratio in the mix but not its composition. The study geared toward exploring D-, A-, I-, and G- optimality criteria and their efficiency in determining an optimal split-plot design in mixture modeling within the presences of process variables. We evaluated and discussed in detail D-, A-, I-, and G- optimality criteria based on literature review. We also explored and examine why I- and D-optimal criteria are often involved within the formulation of an optimal design in the context of mixture process variable settings. We recommend that optimality criterion must always be used when assessing the various styles of designs so as to search out a desirable design that matches a combination model.