{"product_id":"multivariate-data-analysis-in-sensory-and-consumer-science-isbn-9780917678417","title":"Multivariate Data Analysis in Sensory and Consumer Science","description":"This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. \u003cbr\u003e \u003cp\u003eThis book discusses the use of Multivariate Data Analysis to solve problems in sensory and consumer research. More specifically the focus is on the analysis of the reactions to certain characteristics of food products, which are in the form of scores given to attributes perceived in the food stimuli; the analyses are multivariate; and the senses are mainly the senses of smell and taste.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eThe four main themes covered in the book are: (1) Individual Differences, (2) Measurement Levels; (3) Sensory-Instrumental Relations, and (4) Time-Intensity Data Analysis.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eThe statistical methods discussed include Principle Components Analysis, Generalized Procrustes Analysis, Multidimensional Scaling, Redundancy Analysis, and Canonical Analysis.\u003cbr\u003e \u003c\/p\u003e \u003cp\u003eThis book will be a value to all professionals and students working in the sensory studies\u003c\/p\u003e  Prologue and Acknowledgements. \u003cp\u003eIntroduction.\u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Individual Differences\u003c\/b\u003e.\u003c\/p\u003e \u003cp\u003eAssessing Panel Consonance.\u003c\/p\u003e \u003cp\u003eInterpreting Generalized Procrustes Analysis \"Analysis of Variance\" Tables.\u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Measurement Levels.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMultivariate Analysis of Coffee Images.\u003c\/p\u003e \u003cp\u003eNonlinear Canonical Correlation Analysis of Multiway Data.\u003c\/p\u003e \u003cp\u003eNonlinear Generalised Canonical Analysis: Introduction and Application from Sensory Research.\u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Sensory-Instrumental Relations.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAn Application of Nonlinear Redundancy Analysis.\u003c\/p\u003e \u003cp\u003eAn Application of Nonlinear Redundancy Analysis and Canonical Correlation Analysis.\u003c\/p\u003e \u003cp\u003eProcurstes Analysis in Studying Sensory-Instrumental Relations.\u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V: Time-Intensity Data Analysis.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePrincipal Component Analysis of Time-Intensity Bitterness Curves.\u003c\/p\u003e \u003cp\u003ePrincipal Component Analysis of Time-Intensity Curves: Three Methods Compared.\u003c\/p\u003e \u003cp\u003eMatching the Shape of Time-Intensity Curves.\u003c\/p\u003e \u003cp\u003eConcluding Remarks.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eAbbreviations and Acronyms.\u003c\/p\u003e \u003cp\u003eAuthor Index.\u003c\/p\u003e \u003cp\u003eSubject Index.\u003c\/p\u003e \u003cb\u003eEdited by Garmt B. Dijksterhuis, Ph.D.,\u003c\/b\u003e ID-DLO, Institute for Animal Science and Health, Food Science Department, Lelystad, The Netherlands  This book is about Sensometrics: the statistical analysis of data from sensory and consumer science. Sensory and consumer science is a broad field, comprising research in food, drinks, personal care products, tobacco, cleaning agents, etc. Before a product is to be launched on the market it is often tested by sensory panels. The analytical panels with trained judges assess the products on a great number of specific properties using sensory profiling techniques. In consumer tests the focus is on the acceptance of certain products or the preference for a specific product. \u003cbr\u003e \u003cp\u003eFollowing an introduction to sensory and consumer science and the special types of data abundant in these fields, eleven chapters address four themes in sensometrics: individual differences between the assessors in a sensory panel, the measurement level of the collected data and non linear analyses, sensory-instrumental relations, and time-intensity data analysis. The analyses are performed using, among others, Procrustes Analysis, Multidimensional Scaling, Principal Component Analysis, Canonical Analysis, Redundancy Analysis, and Biplots.\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47989664219365,"sku":"NP9780917678417","price":169.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780917678417.jpg?v=1761785013","url":"https:\/\/k12savings.com\/products\/multivariate-data-analysis-in-sensory-and-consumer-science-isbn-9780917678417","provider":"K12savings","version":"1.0","type":"link"}