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Bayesian statistics and the agro-food production chain

Fearn, T; (2004) Bayesian statistics and the agro-food production chain. In: VanBoekel, MAJ and Stein, A and VanBruggen, AHC, (eds.) BAYESIAN STATISTICS AND QUALITY MODELLING IN THE AGRO-FOOD PRODUCTION CHAIN. (pp. 11 - 16). SPRINGER

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The essence of the Bayesian approach to inference is that all uncertainly is expressed through the specification of probability distributions. Its use is particularly advantageous in situations where uncertainties of various kinds have to be combined, in situations where the desired end is a probability statement about a hypothesis, in problems that involve making a decision, and in the modelling of complex systems. Opportunities of all these types exist in the agro-food production chain.

Type: Proceedings paper
Title: Bayesian statistics and the agro-food production chain
Event: Frontis Workshop on Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain
Location: Wageningen, NETHERLANDS
Dates: 2003-05-01 - 2003-05-14
ISBN: 1-4020-1916-5
URI: http://discovery.ucl.ac.uk/id/eprint/151983
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