Statistical Methods in Food and Consumer Research is popular PDF and ePub book, written by Maximo C. Gacula Jr. in 2008-12-01, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Statistical Methods in Food and Consumer Research can be Read Online from any device for your convenience.
Statistical Methods in Food and Consumer Research Book PDF Summary
Statistical Methods in Food and Consumer Research, Second Edition, 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. 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
Detail Book of Statistical Methods in Food and Consumer Research PDF
- Author : Maximo C. Gacula Jr.
- Release : 01 December 2008
- Publisher : Academic Press
- ISBN : 9780080920337
- Genre : Technology & Engineering
- Total Page : 868 pages
- Language : English
- PDF File Size : 14,7 Mb
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