Sensory Item Sorting

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Abstract
A statistical model for the sensory sorting of a group of binary items (as encountered in certain taste tests, for example) is described. The basic assumption is that the neural mechanism has an empirical probability of response when the stimuli are faint. The frequency function and the lower moments of the "sorting distribution" are derived - its limiting case is pair comparison. Account is taken of various psychosensory faculties, such as discrimination, recognition, matching, ranking, and preference, that may be involved in specific instances.

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