Design and Analysis of Sensory Optimization discusses experimental designs, which are very useful in sensory and consumer testing, and fully illustrates them with real-life examples.

The heart of Design and Analysis of Sensory Optimization is product optimization studies with consumers and includes: preliminaries, test for adequacy of statistical model and least squares estimation of regression parameters; why use optimization technique; types of optimization experiments; Plackett and Burman design; Box and Behnken design; mixture designs; search for optimum areas in response surfaces; use of contour maps in product reformulation; augmentation of fractional factorial design; optimization with discrete variables; dangers of fractional factorial designs; and optimization for robustness.

An original feature is the inclusion of a chapter on claim substantiation, including: testing of claims hypotheses, experimental design and claims support, test for equivalence and superiority, and null hypothesis with specified difference.

Contents:

1. Introduction
2. Designs for Comparing Two Populations
3. Completely Random and Randomized Complete Block Design 4. Incomplete Block Designs
4. Crossover Design
5. Fractional Factorial Design for Factors at Two Levels 7. Scaling Methods
6. Product Optimization
7. Claim Substantiation

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ORDER NOW Design and Analysis of Sensory Optimization by M. C. Gacula, Jr. 301 pages • $94.00 + shipping Texas residents please add 6.75 % sales tax