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Bayesian Evaluation of Inspectors in Sensory Tests

Summary: This paper examines a Bayesian rule recently suggested for the classification of inspectors in sensory tests. The rule is presented and shown to be equivalent to a Bayesian hypothesis testing procedure, which aids in the interpretation of the rule. The rule is then improved upon by making fuller use of available sample data. Finally, an extension to the case of unknown error probabilities within inspector classes is briefly described.

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  • Topics: Inspection
  • Keywords: Inspection,Bayesian methods,Decision making,Sensory tests
  • Author: Barry, Christopher B.
  • Journal: Journal of Quality Technology