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Book synopsis

"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 recent 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. The book provides comprehensive coverage of statistical techniques in sensory testing; includes data compiled from real-world experiments; covers the latest in data interpretation and analysis; and, 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.

Book details

Book category Books in English Technology, engineering, agriculture Industrial chemistry & manufacturing technologies Industrial chemistry

• Full title: Statistical Methods in Food and Consumer Research
• Author: Maximo C. Gacula, Jagbir Singh, Jian Bi, Stan Altan
• Language: English
• Binding: Hardback
• Number of pages: 888
• EAN: 9780123737168
• ISBN: 0123737168
• ID: 04493923
• Publisher: Elsevier Science Publishing Co Inc
• Weight: 2632 g
• Dimensions: 254 × 196 × 41 mm
• Date of publishing: 01. December 2008

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