Multivariate and Probabilistic Analyses of Sensory Science Problems

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A01=Christopher J. Findlay
A01=Jean-François Meullenet
A01=Rui Xiong
Author_Christopher J. Findlay
Author_Jean-François Meullenet
Author_Rui Xiong
Category=JBCT
Category=KNTC
consumer research
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_society-politics
multivariate
probabilistic
product development
sensory problems
sensory science
sensory test

Product details

  • ISBN 9780813801780
  • Weight: 771g
  • Dimensions: 185 x 262mm
  • Publication Date: 30 Jul 2007
  • Publisher: John Wiley and Sons Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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 is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic multivariate statistical concepts; use of common data sets throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; and sample program codes to perform the analyses and sample outputs.

As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data.

Jean-François Meullenet, Ph.D., is associate professor of Sensory Science in the Department of Food Science at the University of Arkansas, Fayetteville, AR. Dr. Meullenet conducts research in the area of sensory science and his expertise encompasses sensory and consumer science, rheology and modeling of food perception. Rui Xiong, Ph.D., is a research scientist with the Consumer Science Insights, Unilever Home & Personal Care, Trumbull, CT, USA. Christopher J. Findlay, Ph.D., is president of Compusense, Inc., Guelph, Ontario, Canada. He is associate editor for sensory evaluation for Food Research International.

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