Multivariate Data Analysis in Sensory and Consumer Science (eBook)

Garmt B. Dijksterhuis (Herausgeber)

eBook Download: PDF

2008 | 1. Auflage
320 Seiten
John Wiley & Sons (Verlag)
978-0-470-38483-1 (ISBN)

Infos

This book is an outgrowth of research done by Dr. Gamt Dijsterhuis
for his doctoral thesis at the University of Leiden. However, there
are also contributions by several other authors, as well, including
Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek,
and Margo Flipsen.

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

Autor

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

Inhalt

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.

Produkt-Details

• Erscheint lt. Verlag: 3.7.2008
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Chemie
• Themenwelt: Technik ► Lebensmitteltechnologie
• Themenwelt: Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei
• Schlagworte: Food Science & Technology • Lebensmittel • Lebensmittelforschung u. -technologie
• ISBN-10: 0-470-38483-2 / 0470384832
• ISBN-13: 978-0-470-38483-1 / 9780470384831