Statistical Methods in Food and Consumer Research

Singh, Jagbir, Altan, Stan, Bi, Jian, Gacula Jr., Maximo C.

ISBN 10: 0123737168 / ISBN 13: 9780123737168

Edité par Elsevier Science & Technology, 2008

A propos de cet article

Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

N° de réf. du vendeur 52316107-20

Détails bibliographiques

• Titre: Statistical Methods in Food and Consumer Research
• Éditeur: Elsevier Science & Technology
• Date de parution: 2008
• Langue: anglais
• ISBN à 10 chiffres: 0123737168
• ISBN à 13 chiffres: 9780123737168
• Reliure: Couverture rigide
• Édition: 2 Edition.
• État de l'article: Very Good

A propos de ce titre

Synopsis

Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters.

Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences.

Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available.

Présentation de l'éditeur

Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters.

Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences.

Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available.

• Provides comprehensive coverage of statistical techniques in sensory testing
• Includes data compiled from real-world experiments
• Covers the latest in data interpretation and analysis
• Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping