Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain

Language: English

Published by Springer Netherlands, Springer Netherlands, 2004

1402019173 / 9781402019173

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - The food market is changing from a producer-controlled to a consumer-directed market. A main driving force is consumer concern about agricultural production methods and food safety. More than before, the consumer demands transparency of the production and processing chain.A food chain can be quite complex and the use of models has become indispensable to handle this complexity. Modelling tools are becoming increasingly important to guide the decisions for production of high-quality and safe agricultural foods. With the aid of models it becomes possible to control and predict quality attributes, so that product innovation can be done more efficiently. However, quality is an elusive concept, and there is always an aspect of subjectivity and uncertainty. A novel approach in the agro-food chain would be to tackle subjective elements and uncertainty in modelling by using Bayesian statistics and Bayesian Belief Networks. Bayesian approaches use prior probabilities (partly accounting for subjectivity) to estimate posterior probabilities, resulting in higher accuracy than is possible with classical statistical techniques. Thus, the variability and uncertainty in data and decisions, inherent in a complex food chain, can be dealt with.

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Title
Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain
Author
M. A. J. S. van Boekel
Publisher
Springer Netherlands, Springer Netherlands
Publication year
2004
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1402019173
ISBN 13
9781402019173
Item weight
269 grams
Dimensions
233x155x10 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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