Statistical Methods in Food and Consumer Research continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products.
This new edition includes the most receent applications of statistical methods, and features significant updates as well as two new chapters.
Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences. Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available.

Key Features:
* Provides comprehensive coverage of statistical techniques in sensory testing
* Includes data compiled from real-world experiments
* Covers the latest in data interpretation and analysis
* Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping

In defining sensory properties of products, descriptive techniques that utilize trained panels are used. Arthur D. Little, Inc. pioneered a desriptive technique in the 1950's known as the "Flavor Profile" that laid the foundation for the development of current desriptive techniques used today in academia and industry.
Several collections of published papers are reprinted in this book. The main areas covered include dairy products, meats, alcoholic beverages, textile materials and general applications. In addition, Dr. Gacula has prepared 40 pages of new text material on (1) Descriptive Sensory Analysis Methods, and (2) Computer Software.
Methods for statistical systems (SAS) computer programs are provided