Statistical methods in food and consumer research
著者
書誌事項
Statistical methods in food and consumer research
（Food science and technology : international series）
Academic Press, c2009
2nd ed
- : hbk
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注記
Previous ed.: published as by Maximo Gacula and Jagbir Singh, 1984
Bibliography: p. 829-844
Includes index
内容説明・目次
内容説明
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.
目次
1-Introduction
2-Statistical Sensory Testing
3-The Analysis of Variance and Multiple Comparison Tests
4-Experimental Design
5-Incomplete Block Experimental Designs
6-Factorial Experiments
7-Response Surface Designs and Analysis
8-Shelf Life Testing Experiments
9-Nonparametric Statistical Methods
10-Sensory Difference and Similarity Tests
11-The Method of Paired Comparisons in Sensory Tests and Thurstonian Scaling
12-Descriptive Analysis and Perceptual Mapping
13-Sensory Evaluation in Cosmetic Studies
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