This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Activity Details

CE_02C Sat, 7/31/2010, 8:30 AM - 5:00 PM CC-8 (East)
Methods for Designing and Analyzing Mixture Experiments — Continuing Education Course
Instructor(s): John A. Cornell, University of Florida, Greg F. Piepel, Battelle/PNNL
Mixture experiments involve varying the component proportions of a product and observing the changes in the product's properties. The component proportions cannot be varied independently because they must sum to 1.0 for each run in the experiment. Mixture experiments are useful in many product development areas, including foods, drinks, drugs, plastics, alloys, ceramics, glass, gasoline, and fertilizers. The course will provide an overview of approaches and methods used in designing mixture experiments and analyzing the resulting data. Designs for simplex- and irregular-shaped regions (the latter resulting from constraints on the component proportions) will be covered. Various types of mixture models for fitting to mixture data will be discussed, as will graphical techniques for interpreting component effects. Including process variables and/or a total amount variable in mixture experiments will be covered. Graphical and analytical methods for developing mixtures with optimum properties will also be discussed, with real examples used to illustrate the topics. This course is designed for statisticians and nonstatisticians wanting to know about statistical methods for designing mixture experiments and analyzing the resulting data. Prerequisites are an understanding of basic statistics concepts and previous exposure to experimental design and regression.

2010 JSM Online Program Home

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