Statistical Methods in Food and Consumer Research
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
1101445697
Statistical Methods in Food and Consumer Research
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
109.99 In Stock
Statistical Methods in Food and Consumer Research

Statistical Methods in Food and Consumer Research

Statistical Methods in Food and Consumer Research

Statistical Methods in Food and Consumer Research

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$109.99 

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Overview

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

Product Details

ISBN-13: 9780080920337
Publisher: Elsevier Science & Technology Books
Publication date: 12/01/2008
Series: Food Science and Technology
Sold by: Barnes & Noble
Format: eBook
Pages: 888
File size: 16 MB
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Table of Contents

1-Introduction2-Statistical Sensory Testing3-The Analysis of Variance and Multiple Comparison Tests4-Experimental Design5-Incomplete Block Experimental Designs6-Factorial Experiments7-Response Surface Designs and Analysis8-Shelf Life Testing Experiments9-Nonparametric Statistical Methods10-Sensory Difference and Similarity Tests11-The Method of Paired Comparisons in Sensory Tests and Thurstonian Scaling12-Descriptive Analysis and Perceptual Mapping 13-Sensory Evaluation in Cosmetic Studies
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