Covers the use of Multivariate Data Analysis to solve problems in sensory and consumer research.
Multivariate analysis of data in sensory science
β Scribed by Tormod Naes and Einar Risvik (Eds.)
- Publisher
- Academic Press, Elsevier
- Year
- 1996
- Leaves
- 344
- Series
- Data Handling in Science and Technology 16
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
List of contributors
Pages xv-xvi
Preface
Pages 1-3
Tormod N˦s, Einar Risvik
Understanding latent phenomena Original Research Article
Pages 5-35
E. Risvik
Experimental design Original Research Article
Pages 37-69
Edward Anthony Hunter
Preference mapping for product optimization Original Research Article
Pages 71-102
Jean A. McEwan
Analysing complex sensory data by non-linear artificial neural networks Original Research Article
Pages 103-133
Knut Kvaal, Jean A. McEwan
Relationships between sensory measurements and features extracted from images Original Research Article
Pages 135-157
Knut Kvaal, Pernille Baardseth, Ulf G Indahl, Tomas Isaksson
Analyzing differences among products and panelists by multidimensional scaling Original Research Article
Pages 159-184
Richard Popper, Hildegarde Heymann
Procrustes analysis in sensory research Original Research Article
Pages 185-219
Garmt Dijksterhuis
Generalised canonical analysis of individual sensory profiles and instrumental data Original Research Article
Pages 221-258
Eeke van der Burg, Garmt Dijksterhuis
Defining and validating assessor compromises about product distances and attribute correlations Original Research Article
Pages 259-306
Pascal Schlich
Analysing individual profiles by three-way factor analysis Original Research Article
Pages 307-342
Per M. Brockhoff, David Hirst, Tormod N˦s
Index
Pages 343-348
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