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Müller–Urban process

Müller–Urban process

a procedure for calculating the difference threshold for data obtained using the method of constant stimuli. It is based on the assumption that the best measure of the threshold is the median of the best fitting ogive (S-shaped function) for the distribution. [Georg Elias Müller; Frank M. Urban, 20th-century U.S. psychologist]

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