Comparing the Slack-Variable Mixture Model With Other Alternatives Lulu Kang Javier Cruz Salgado William A. Brenneman 10.6084/m9.figshare.1292438 https://tandf.figshare.com/articles/journal_contribution/Comparing_the_Slack_Variable_Mixture_Model_with_Other_Alternatives/1292438 <p>There have been many linear regression models proposed to analyze mixture experiments including the Scheffé model, the slack-variable model, and the Kronecker model. The use of the slack-variable model is somewhat controversial within the mixture experiment research community. However, in situations that the slack-variable ingredient is used to fill in the formulation and the remaining ingredients have constraints such that they can be chosen independently of one another, the slack-variable model is extremely popular by practitioners mainly due to the ease of interpretation. In this article, we advocate that for some mixture experiments the slack-variable model has appealing properties including numerical stability and better prediction accuracy when model-term selection is performed. We also explain how the effects of the slack-variable model components should be interpreted and how easy it is for practitioners to understand the components effects. We also investigate how to choose the slack-variable component, what transformation should be used to reduce collinearity, and under what circumstances the slack-variable model should be preferred. Both simulation and practical examples are provided to support the conclusions.</p> 2016-04-18 18:59:50 Scheff é model mixture experiments mixture experiment research community