Table of Contents

Multivariate and Probabilistic Analyses of Sensory Science Problems; Table of Contents; Introduction; Chapter 1. A Description of Sample Data Sets Used in Further Chapters; Chapter 2. Panelist and Panel Performance: A Multivariate Experience; Chapter 3. A Nontechnical Description of Preference Mapping; Chapter 4. Deterministic Extensions to Preference Mapping Techniques; Chapter 5. Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data; Chapter 6. Consumer Segmentation Techniques. Chapter 7. Ordinal Logistic Regression Models in Consumer ResearchChapter 8. Risk Assessment in Sensory and Consumer Science; Chapter 9. Application of MARS to Preference Mapping; Chapter 10. Analysis of Just About Right Data; Index. Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text.