Bayesian solutions for food science problems?

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This paper starts with an overview of some typical food-science problems. In view of the development of safe and healthy food, the use of mathematical models in food science is much needed and the use of statistics is therefore indispensable. Because of the biological variability in the raw materials on the one hand and the complex nature of foods on the other hand food-science problems are characterized by a high degree of uncertainty as well as variability. Consequently, when dealing with these problems Bayesian statistics could be very helpful; however, it is hardly used at all. This paper discusses some possible applications concerning the modelling of food quality and food safety. It is concluded that a Bayesian approach could be quite useful and its potential should be further explored in future research
Original languageEnglish
Title of host publicationBayesian statistics and Quality Modelling in the Agro-Food Production Chain
EditorsM.A.J.S. van Boekel, A. Stein, A. van Bruggen
Place of PublicationDordrecht
Pages17-27
Number of pages172
Publication statusPublished - 2004

Publication series

NameWageningen Frontis Series
PublisherKluwer
Number3

Keywords

  • food quality
  • bayesian theory
  • mathematical models
  • kinetics
  • food safety

Fingerprint

Dive into the research topics of 'Bayesian solutions for food science problems?'. Together they form a unique fingerprint.

Cite this