Work

Maximum likelihood difference scaling

Year: 2003

Type: article

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.

Source: Journal of Vision

DOI: 10.1167/3.8.5

Authors: Laurence T. Maloney, Joong Nam Yang

Institutions: New York University, Ames Research Center

Language: English

Topic: Visual perception and processing mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $1,850

Funder: National Eye Institute