Maximum-likelihood estimation of a multivariate Gaussian rating model with excluded data

DOI10.1016/0022-2496(92)90037-8zbMath0746.62104OpenAlexW2026010408MaRDI QIDQ1193377

Thomas D. Wickens

Publication date: 27 September 1992

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0022-2496(92)90037-8

zbMATH Keywords

linear hypothesesincomplete tablesbivariate Gaussian distributionpolychoric correlation coefficientGaussian signal-detection modelgeneral multidimensional recognition modelmaximum-likelihood fittingorthogonal cutpointsrating-scale detection experiments

Mathematics Subject Classification ID

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

Related Items

A tutorial on general recognition theory ⋮ Identifiability and testability in GRT with individual differences ⋮ Multidimensional signal detection decision models of the uncertainty task: application to face perception ⋮ Further considerations of a general \(d'\) in multidimensional space. ⋮ Source monitoring and multivariate signal detection theory, with a model for selection. ⋮ Computational models inform clinical science and assessment: an application to category learning in striatal-damaged patients

Uses Software

• Turbo Pascal
• AS 76

Cites Work

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• Maximum likelihood estimation of the polychoric correlation coefficient
• Statistical significance tests for binormal ROC curves
• Log-linear models and frequency tables with small expected cell counts
• Tables for Computing Bivariate Normal Probabilities
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large