UID:
almafu_9959327717202883
Format:
1 online resource (viii, 248 pages) :
,
illustrations
Edition:
1st ed.
ISBN:
9780813801780
,
0813801788
,
9780470277539
,
047027753X
,
9781615832057
,
161583205X
Series Statement:
IFT Press
Content:
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-stat.
Note:
A Description of Sample Data Sets Used in Further Chapters -- Panelist and Panel Performance: A Multivariate Experience -- A Nontechnical Description of Preference Mapping -- Deterministic Extensions to Preference Mapping Techniques -- Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data -- Consumer Segmentation Techniques -- Ordinal Logistic Regression Models in Consumer Research -- Risk Assessment in Sensory and Consumer Science -- Application of MARS to Preference Mapping -- Analysis of Just About Right Data.
Additional Edition:
Print version: Meullenet, J.-F. (Jean-Francois), 1968- Multivariate and probabilistic analyses of sensory science problems. [Chicago, Ill.] : IFT Press ; Ames, Iowa : Blackwell Pub., 2007
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470277539
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470277539
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470277539
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470277539
