On the statistical and theoretical basis of signal detection theory and extensions: unequal variance, random coefficient, and mixture models

DOI10.1016/j.jmp.2010.01.001zbMath1190.62005OpenAlexW2031479021MaRDI QIDQ979182

Lawrence T. DeCarlo

Publication date: 25 June 2010

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

Full work available at URL: https://doi.org/10.1016/j.jmp.2010.01.001

zbMATH Keywords

mixture modelgeneralized linear mixed modelrandom interceptrandom slopeunequal variance modelvariable criterionvariable strength

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13) Statistical aspects of information-theoretic topics (62B10)

Related Items (5)

Incorporating functional response time effects into a signal detection theory model ⋮ Signal detection theory with item effects ⋮ Evaluating models of recognition memory using first- and second-choice responses ⋮ On a signal detection approach to \(m\)-alternative forced choice with bias, with maximum likelihood and Bayesian approaches to estimation ⋮ Regression methods for metacognitive sensitivity

Uses Software

• Mplus
• PLUM
• Fahrmeir
• Latent GOLD
• LEM

Cites Work

• Overdispersion: Models and estimation.
• Logistic regression with random coefficients
• Approximate Inference in Generalized Linear Mixed Models
• Multivariate statistical modelling based on generalized linear models.
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