This book discusses experimental designs which are very useful in
sensory and consumer testing. As an added feature this coverage is
fully illustrated with real-life examples. In addition, the
importance of fractional factorial designs are explained more fully
than in books now available.
The heart of this book is product optimization which covers in
great detail designs and analysis of optimization studies with
consumers. A rundown of this chapter 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.
This book will be valuable for a wide audience of professionals
in the areas of sensory, marketing, advertising, statistics,
quality assurance, food, beverage, personal care, pharmaceutical,
household products, and cosmetic industries. The book could also
serve as a text in applied statistics
Table des matières
1. Introduction.
2. Designs for Comparing Two Populations.
3. Completely Random and Randomized Complete Block Design.
4. Incomplete Block Designs.
5. Crossover Design.
6. Fractional Factorial Design for Factors at Two Levels.
7. Scaling Methods.
8. Product Optimization.
9. Claim Substantiations.
Appendix.
Index
A propos de l’auteur
M.C. Gacula, Jr., Ph.D., Gacula Associates, Scottsdale, Arizona.
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