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Multivariate analysis of data in sensory science / edited by Tormod Næs and Einar Risvik.

Contributor(s): Series: Data handling in science and technology ; v. 16.1996Description: 1 online resource (xvi, 348 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780444899569
  • 0444899561
  • 9780080537160
  • 0080537162
Subject(s): Genre/Form: Additional physical formats: Print version:: Multivariate analysis of data in sensory science.LOC classification:
  • QP435 .M83 1996eb
Online resources:
Contents:
Understanding latent phenomena / E. Risvik -- Experimental design / Edward Anthony Hunter -- Preference mapping for product optimization / Jean A. McEwan -- Analysing complex sensory data by non-linear artificial neural networks / Knut Kvaal, Jean A. McEwan -- Relationships between sensory measurements and features extracted from images / Knut Kvaal, Pernille Baardseth, Ulf G. Indahl, Tomas Isaksson -- Analyzing differences among products and panelists by multidimensional scaling / Richard Popper, Hildegarde Heymann -- Procrustes analysis in sensory research / Garmt Dijksterhuis -- Generalised canonical analysis of individual sensory profiles and instrumental data / Eeke van der Burg, Garmt Dijksterhuis -- Defining and validating assessor compromises about product distances and attribute correlations / Pascal Schlich -- Analysing individual profiles by three-way factor analysis / Per M. Brockhoff, David Hirst, Tormod Næs.
Summary: 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.
Item type: eBooks
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Includes bibliographical references and index.

Understanding latent phenomena / E. Risvik -- Experimental design / Edward Anthony Hunter -- Preference mapping for product optimization / Jean A. McEwan -- Analysing complex sensory data by non-linear artificial neural networks / Knut Kvaal, Jean A. McEwan -- Relationships between sensory measurements and features extracted from images / Knut Kvaal, Pernille Baardseth, Ulf G. Indahl, Tomas Isaksson -- Analyzing differences among products and panelists by multidimensional scaling / Richard Popper, Hildegarde Heymann -- Procrustes analysis in sensory research / Garmt Dijksterhuis -- Generalised canonical analysis of individual sensory profiles and instrumental data / Eeke van der Burg, Garmt Dijksterhuis -- Defining and validating assessor compromises about product distances and attribute correlations / Pascal Schlich -- Analysing individual profiles by three-way factor analysis / Per M. Brockhoff, David Hirst, Tormod Næs.

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.

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