Design and Analysis of Mixture Experiments

Abstract

Techniques for the design and analysis of mixture experiments are discussed. Emphasis is on the practical aspects of selecting the appropriate mixture design, development and interpretation of mixture models, and analysis of mixture data. That the classic techniques for investigating the effects of independent variables are not appropriate for studying the response of a mixture system is shown. Alternative procedures are discussed. Two examples are included to illustrate the techniques of mixture experimentation.

• Mixture Experimentation
• Simplex Design
• Extreme Vertices Design
• Mixture Models

Additional information

Notes on contributors

Ronald D. Snee

Dr. Snee is Statistician in the Engineering Service Division of the Engineering Department of E. I. du Pont de Nemours & Company in Wilmington, Delaware. This paper was presented at the 22nd Annual “Metropolitan Section All-Day Conference on Quality Control and Statistics in Industry” at Rutgers University, New Brunswick, New Jersey, September 12, 1970.