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Author Meullenet, Jean-Francois.
Title Multivariate and Probabilistic Analyses of Sensory Science Problems.
Imprint Hoboken : John Wiley & Sons, 2007.

Author Meullenet, Jean-Francois.
Series Institute of Food Technologists Series
Institute of Food Technologists Series.
Subject Food -- Sensory evaluation -- Statistical methods.
Multivariate analysis.
Alt Name Xiong, Rui.
Findlay, Christopher.
Description 1 online resource (258 pages)
Contents Multivariate and Probabilistic Analyses of Sensory Science Problems; Table of Contents; Introduction; Chapter 1. A Description of Sample Data Sets Used in Further Chapters; Chapter 2. Panelist and Panel Performance: A Multivariate Experience; Chapter 3. A Nontechnical Description of Preference Mapping; Chapter 4. Deterministic Extensions to Preference Mapping Techniques; Chapter 5. Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data; Chapter 6. Consumer Segmentation Techniques.
Chapter 7. Ordinal Logistic Regression Models in Consumer ResearchChapter 8. Risk Assessment in Sensory and Consumer Science; Chapter 9. Application of MARS to Preference Mapping; Chapter 10. Analysis of Just About Right Data; Index.
Summary Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text.
Note Print version record.
ISBN 9780470276310 (electronic bk.)
0470276312 (electronic bk.)
OCLC # 609847375
Additional Format Print version: 9780813801780

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