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.
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