Experimental Design for Formulation

This book describes a systematic methodology for formulating mixed-ingredient products so that they perform to particular standards, providing scientists and engineers with a fast track to the implementation of the methodology. Examples from a wide variety of fields are included, as well as a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, the combining of mixture and nonmixture variables in a designed experiment, and the concept of collinearity and the possible problems that can result from its presence. The book is a useful manual for the formulator and can also be used by a resident statistician to teach an in-house short course. Statistical proofs are largely absent, and the formulas that are presented are included to explain how the various software packages carry out the analysis.

Preface; Part I. Preliminaries: 1. Introduction; 2. Mixture space; 3. Models for a mixture setting; Part II. Design: 4. Designs for simplex-shaped regions; 5. Designs for non-simplex-shaped regions; 6. Design evaluation; 7. Blocking mixture experiments; Appendix 7A; Part III. Analysis: 8. Building models in a mixture setting; 9. Model evaluation; 10. Model revision; 11. Effects; 12. Optimization; Part IV. Special Topics: 13. Including process variables; 14. Collinearity; Bibliography; Index.

This book describes a systematic methodology for formulating mixed-ingredient products so that they meet particular standards, providing scientists and engineers with a fast track to the implementation of the methodology. A useful manual for the formulator or for a resident statistician teaching an in-house short course.