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Multivariate Analysis of Data in Sensory Science - 1st Edition - ISBN: 9780444899569, 9780080537160

Multivariate Analysis of Data in Sensory Science, Volume 16

1st Edition

Editors: T. Naes E. Risvik
eBook ISBN: 9780080537160
Hardcover ISBN: 9780444899569
Imprint: Elsevier Science
Published Date: 1st February 1996
Page Count: 347
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Table of Contents

Preface. 1. Understanding latent phenomena (E. Risvik). 2. Experimental design (E.A. Hunter). 3. Preference mapping for product optimization (J.A. McEwan). 4. Analysing complex sensory data by non-linear artificial neural networks (K. Kvaal, J.A. McEwan). 5. Relationships between sensory measurements and features extracted from images (K. Kvaal, P. Baardseth, U.G. Indahl, T. Isaksson). 6. Analysing differences among products and panelists by multidimensional scaling (R. Popper, H. Heymann). 7. Procrustes analysis in sensory research (G. Dijksterhuis). 8. Generalised canonical analysis of individual sensory profiles and instrumental data (E. van der Burg, G. Dijksterhuis). 9. Defining and validating assessor compromises about product distances and attribute correlations (P. Schlich). 10. Analysing individual profiles by three-way Factor analysis (P.M. Brockhoff, D. Hirst, T. Næs). Index.


The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis.

The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques.

Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.


No. of pages:
© Elsevier Science 1996
1st February 1996
Elsevier Science
eBook ISBN:
Hardcover ISBN:


@qu:This book is recommended to food and sensory scientists, chemometricians, applied statisticians and anyone working in consumer science.
@source:Food Science

Ratings and Reviews

About the Editors

T. Naes

E. Risvik

Affiliations and Expertise

Norwegian Food Research Institute, Oslovein, Norway