Multivariate Data Analysis in Sensory and Consumer ScienceISBN: 978-0-917678-41-7
Hardcover
320 pages
July 2008, Wiley-Blackwell
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This book discusses the use of Multivariate Data Analysis to
solve problems in sensory and consumer research. More specifically
the focus is on the analysis of the reactions to certain
characteristics of food products, which are in the form of scores
given to attributes perceived in the food stimuli; the analyses are
multivariate; and the senses are mainly the senses of smell and
taste.
The four main themes covered in the book are: (1) Individual
Differences, (2) Measurement Levels; (3) Sensory-Instrumental
Relations, and (4) Time-Intensity Data Analysis.
The statistical methods discussed include Principle Components
Analysis, Generalized Procrustes Analysis, Multidimensional
Scaling, Redundancy Analysis, and Canonical Analysis.
This book will be a value to all professionals and students working in the sensory studies