When testing for attributes, it is important to assess the inspectors' efficiency as they judge the product quality by classifying it as conforming or non-conforming. This work presents a bayesian method for evaluating sensory inspectors, including discussions about situations in which classifications are made for which the real state of the product is not known.
quality control; attribute sampling; classification error; evaluation of inspectors; bayesian inference
