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Author:   Jean-François Meullenet (Universtity of Arkansas, USA) ,  Rui Xiong (Unilever Home & Personal Care, USA) ,  Christopher J. Findlay (Compusense, Inc., Canada)
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell
Dimensions:   Width: 18.50cm , Height: 1.80cm , Length: 26.20cm
Weight:   0.771kg
ISBN:  

9780813801780

ISBN 10:   0813801788
Pages:   256
Publication Date:   30 July 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9781119375968
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Introduction 3 Chapter 1 A Description of Sample Data Sets Used in Further Chapters 9 1.1 A Description of Example Data Sets 9 References 25 Chapter 2 Panelist and Panel Performance: A Multivariate Experience 27 2.1 The Multivariate Nature of Sensory Evaluation 27 2.2 Univariate Approaches to Panelist Assessment 29 2.3 Multivariate Techniques for Panelist Performance 32 2.4 Panel Evaluation through Multivariate Techniques 43 2.5 Conclusions 46 References 47 Chapter 3 A Nontechnical Description of Preference Mapping 49 3.1 Introduction 49 3.2 Internal Preference Mapping 49 3.3 External Preference Mapping (PREFMAP) 58 3.4 Conclusions 66 References 67 Chapter 4 Deterministic Extensions to Preference Mapping Techniques 69 4.1 Introduction 69 4.2 Application and Models Available 69 4.3 Conclusions 89 References 94 Chapter 5 Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data 95 5.1 Introduction 95 5.2 Multidimensional Scaling (MDS) and Unfolding 96 5.3 Probabilistic Approach to Unfolding and Identifying the Drivers of Liking 98 5.4 Examples 100 References 109 Chapter 6 Consumer Segmentation Techniques 111 6.1 Introduction 111 6.2 Methods Available 111 6.3 Segmentation Methods Using Hierarchical Cluster Analysis 113 References 126 Chapter 7 Ordinal Logistic Regression Models in Consumer Research 129 7.1 Introduction 129 7.2 Limitations of Ordinary Least Square Regression 129 7.3 Odds Odds Ratio and Logit 130 7.4 Binary Logistic Regression 133 7.5 Ordinal Logistic Regression Models 144 7.6 Proportional Odds Model (POM) 144 7.7 Conclusions 160 References 160 Chapter 8 Risk Assessment in Sensory and Consumer Science 163 8.1 Introduction 163 8.2 Concepts of Quantitative Risk Assessment 164 8.3 A Case Study: Cheese Sticks Appetizers 166 8.4 Conclusions 176 References 176 Chapter 9 Application of MARS to Preference Mapping 179 9.1 Introduction 179 9.2 MARS Basics 179 9.3 Setting Control Parameters and Refining Models 187 9.4 Example of Application of MARS 188 9.5 A Comparison with PLS Regression 201 References 205 Chapter 10 Analysis of Just About Right Data 207 10.1 Introduction 207 10.2 Basics of Penalty Analysis 208 10.3 Boot Strapping Penalty Analysis 210 10.4 Use of MARS to Model JAR Data 212 10.5 A Proportional Odds/Hazards Approach to Diagnostic Data Analysis 215 10.6 Use of Dummy Variables to Model JAR Data 220 References 233 Index 237

Reviews

A This technical work provides a useful insight into the solution of a number of pertinent problems in sensory science. This is an excellent work for sensory specialists and challenges the reader to consider alternate strategies for handling sensory data.A ( Journal of Dairy Technology, May 2009)

?This technical work provides a useful insight into the solution of a number of pertinent problems in sensory science. This is an excellent work for sensory specialists and challenges the reader to consider alternate strategies for handling sensory data.? ( Journal of Dairy Technology, May 2009)

Author Information

Jean-François Meullenet, Ph.D., is associate professor of Sensory Science in the Department of Food Science at the University of Arkansas, Fayetteville, AR. Dr. Meullenet conducts research in the area of sensory science and his expertise encompasses sensory and consumer science, rheology and modeling of food perception. Rui Xiong, Ph.D., is a research scientist with the Consumer Science Insights, Unilever Home & Personal Care, Trumbull, CT, USA. Christopher J. Findlay, Ph.D., is president of Compusense, Inc., Guelph, Ontario, Canada. He is associate editor for sensory evaluation for Food Research International.

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