NONPARAMETRIC MODELS FOR DISCRIMINATION METHODS AND SENSITIVITY ANALYSIS FOR TRIADS

Nonparametric models for sensory discrimination methods are developed. In these models, the relationship between the probability of a correct response, P_c, and the measures for sensory discriminability or sensory difference, p₁ and p₂ are given. On the basis of the models, different sensitivities for triadic tests were compared including 3-AFC and triangle methods with the strong stimulus as the odd sample and with the weak stimulus as the odd sample. Predictions were made which can be tested experimentally.