A mixture design has become famous in statistical modeling in a mixture process variable experiment owing to its usefulness in modeling the blending surface that predicts the response of any mixture empirical. The mixture blends included manure from cows, chickens, goats, and she...
Open access
Research Article10.9734/jsrr/2023/v29i111805
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 Article10.9734/ajpas/2021/v12i430292
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 Article10.9734/ajpas/2021/v12i330285