Multivariate Data Analysis in Sensory and Consumer Science

Herausgeber: Dijksterhuis, Garmt B

• Gebundenes Buch

Produktbeschreibung

This book is about Sensometrics: the statistical analysis of data from sensory and consumer science. Sensory and consumer science is a broad field, comprising research in food, drinks, personal care products, tobacco, cleaning agents, etc. Before a product is to be launched on the market it is often tested by sensory panels. The analytical panels with trained judges assess the products on a great number of specific properties using sensory profiling techniques. In consumer tests the focus is on the acceptance of certain products or the preference for a specific product. 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.

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Produktdetails

• Verlag: Wiley
• Seitenzahl: 320
• Erscheinungstermin: 27. Dezember 2004
• Englisch
• Abmessung: 235mm x 161mm x 22mm
• Gewicht: 567g
• ISBN-13: 9780917678417
• ISBN-10: 0917678419
• Artikelnr.: 20968467

Autorenporträt

Edited by Garmt B. Dijksterhuis, Ph.D., ID-DLO, Institute for Animal Science and Health, Food Science Department, Lelystad, The Netherlands

Inhaltsangabe

Prologue and Acknowledgements.
Introduction..
Part I: Individual Differences.
Assessing Panel Consonance.
Interpreting Generalized Procrustes Analysis "Analysis of Variance" Tables.
.
Part II: Measurement Levels.
Multivariate Analysis of Coffee Images.
Nonlinear Canonical Correlation Analysis of Multiway Data.
Nonlinear Generalised Canonical Analysis: Introduction and Application from
Sensory Research..
Part III: Sensory-Instrumental Relations.
An Application of Nonlinear Redundancy Analysis.
An Application of Nonlinear Redundancy Analysis and Canonical Correlation
Analysis.
Procurstes Analysis in Studying Sensory-Instrumental Relations..
Part V: Time-Intensity Data Analysis.
Principal Component Analysis of Time-Intensity Bitterness Curves.
Principal Component Analysis of Time-Intensity Curves: Three Methods
Compared.
Matching the Shape of Time-Intensity Curves.
Concluding Remarks.
References.
Abbreviations and Acronyms.
Author Index.
Subject Index.