Multivariate Data Analysis in Sensory and Consumer Science is about Sensometrics: the statistical analysis of data from sensory and consumer science.

Following an introduction to sensory and consumer science and the special types of data abundant in these fields, eleven chapters address four themes in sensometrics: individual differences between the assessors in a sensory panel, the measurement level of the collected data and non linear analyses, sensory-instrumental relations, and time-intensity data analysis.

The analyses are performed using, among others, Procrustes Analysis, Multidimensional Scaling, Principal Component Analysis, Canonical Analysis, Redundancy Analysis, and Biplots.

Contents:

1. Introduction
2. Assessing Panel Consonance
3. Interpreting Generalised Procrustes Analysis "Analysis of Variance" Tables
4. Multivariate Analysis of Coffee Images: A Study in the Simultaneous Display of Multivariate Quantitative and Qualitative Variables for Several Assessors
5. Nonlinear Canonical Correlation Analysis of Multiway Data
6. Nonlinear Generalised Canonical Analysis: Introduction and Application from Sensory Research
7. An Application of Nonlinear Redundancy Analysis
8. An Application of Nonlinear Redundancy Analysis and Canonical Correlation Analysis
9. Procrustes Analysis in Studying Sensory-Instrumental Relations
10. Principal Component Analysis of Time-Intensity Bitterness Curves
11. Principal Component Analysis of Time-Intensity Data: Three Methods Compared
12. Matching the Shape of Time-Intensity Curves

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