Julius K. Koech

Exploration of D-, A-, I- and G- Optimality Criteria in Mixture Modeling

Samson W. Wanyonyi, Ayubu A. Okango & Julius K. Koech · Asian Journal of Probability and Statistics · 2021

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...

Open access Research Article 10.9734/ajpas/2021/v12i430292

Optimization of Split-Plot Design in the Context of Mixture Process Variable Settings

Samson W. Wanyonyi, Ayubu A. Okango, Julius K. Koech & Betty C. Korir · Asian Journal of Probability and Statistics · 2021

In the presence of process variables, a mixture design has become well-known in statistical modeling due to its utility in modeling the blending surface, which empirically predicts any mixture's response and serves as the foundation for optimizing the expected response blends of...

Open access Research Article 10.9734/ajpas/2021/v12i330285