Statistical Methods in Food and Consumer Research
2nd Revised edition
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Statistical Methods in Food and Consumer Research by Maximo C. Gacula
Book Description"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.
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Book DetailsISBN: 9780123737168
(246mm x 189mm x 38mm)
Imprint: Academic Press Inc
Publisher: Elsevier Science Publishing Co Inc
Publish Date: 1-Dec-2008
Country of Publication: United States
Books By Author Maximo C. Gacula
Viewpoints and Controversies in Sensory Science and Consumer Product Testing, Hardback (February 2005)» View all books by Maximo C. Gacula
Presents different approaches to the same problem and even different ways to look at the same type of data. If you have ever been stumped by a controversy in product assessment, the design of studies, or the analysis of data, this book provides the answers.
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