Probabilistic psychophysics with noisy stimuli

DOI10.1016/0165-4896(92)90018-ZzbMath0742.92026WikidataQ127452232 ScholiaQ127452232MaRDI QIDQ1185297

Kenneth Mullen, Daniel M. Ennis

Publication date: 28 June 1992

Published in: Mathematical Social Sciences (Search for Journal in Brave)

zbMATH Keywords

probability density functionmaximum likelihoodbiaspower functionnonlinear least squaresprobabilistic modelspaired comparisonsmental representationlognormally distributed stimulus valuesminimum chi-square criterianeural normally distributed noiseneural variationpsychophysical transformation functionstimulus measuresstimulus variation

Mathematics Subject Classification ID

Psychophysics and psychophysiology; perception (91E30) Applications of statistics to psychology (62P15)

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Sources and influence of perceptual variance: comment on Dzhafarov's regular minimality principle

Uses Software

• IMSL Numerical Libraries

Cites Work

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• The wandering ideal point model: A probabilistic multidimensional unfolding model for paired comparisons data
• Mathematical formulation of multivariate Euclidean models for discrimination methods
• Thurstonian psychophysics: Case III
• A multidimensional stochastic theory of similarity
• Probabilistic multidimensional scaling: An anisotropic model for distance judgments
• Models for the Duo-Trio and Triangular Methods
• Variants of the method of triads: Utridimensional Thurstonian models
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Variations of the triangular method and the relationship of its unidimensional probabilistic models to three‐alternative forced‐choice signal detection theory models
• A Biometrics Invited Paper. Science, Statistics, and Paired Comparisons