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Informationen zum Autor Jean-Fran ç ois 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 . Klappentext 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 is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results. Coverage includes a refresher on basic multivariate statistical concepts; use of common data sets throughout the text; summary tables presenting the pros and cons of specific methods and the conclusions that may be drawn from using various methods; and sample program codes to perform the analyses and sample outputs. As the latest member of the IFT Press series, Multivariate and Probabilistic Analyses of Sensory Science Problems will be welcomed by sensory scientists in the food industry and other industries using similar testing methodologies, as well as by faculty teaching advanced sensory courses, and professionals conducting and participating in workshops addressing multivariate analysis of sensory and consumer data. Zusammenfassung 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. Inhaltsverzeichnis 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 th...
