title: Maximum likelihood difference scaling.
abstract: We present a stochastic model of suprathreshold perceptual differences based on difference measurement. We develop a maximum likelihood difference scaling (MLDS) method for estimating its parameters and evaluate the reliability and distributional robustness of the fitting method. We also describe a method for testing whether the difference measurement model is appropriate as a description of human judgment of perceptual differences in any specific experimental context.
authors: Department of Psychology and Center for Neural Science, New York University, New York, NY, USA. ltm@cns.nyu.edu
authors: Laurence T
authors: LT
authors: Maloney
authors: Joong Nam
authors: JN
authors: Yang
mesh_terms: D006801:Humans; D016013:Likelihood Functions; D012684:Sensory Thresholds; D012858:Size Perception / Q000502:physiology; D013269:Stochastic Processes; D014796:Visual Perception / Q000502:physiology*