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Informationen zum Autor Edited by Garmt B. Dijksterhuis, Ph.D., ID-DLO, Institute for Animal Science and Health, Food Science Department, Lelystad, The Netherlands Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 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. ...
