Multivariate Analysis of Data in Sensory Science ( Volume 16 )

Publication series :Volume 16

Author: Naes   T.;Risvik   E.  

Publisher: Elsevier Science‎

Publication year: 1996

E-ISBN: 9780080537160

P-ISBN(Paperback): 9780444899569

P-ISBN(Hardback):  9780444899569

Subject: O212.1 General statistics

Language: ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

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.

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Contents

pp.:  6 – 18

Preface

pp.:  18 – 22

Chapter 1. Understanding latent phenomena

pp.:  22 – 54

Chapter 2. Experimental design

pp.:  54 – 88

Chapter 3. Preference mapping for product optimization

pp.:  88 – 120

Chapter 4. Analysing complex sensory data by non-linear artificial neural networks

pp.:  120 – 152

Chapter 5. Relationships between sensory measurements and features extracted from images

pp.:  152 – 176

Chapter 6. Analyzing differences among products and panelists by multidimensional scaling

pp.:  176 – 202

Chapter 7. Procrustes analysis in sensory research

pp.:  202 – 238

Chapter 8. Generalised canonical analysis of individual sensory profiles and instrumental data

pp.:  238 – 276

Chapter 9. Defining and validating assessor compromises about product distances and attribute correlations

pp.:  276 – 324

Chapter 10. Analysing individual profiles by three-way Factor analysis

pp.:  324 – 360

Index

pp.:  360 – 366

The users who browse this book also browse


No browse record.