An identifiable model of two-stage learning

DOI10.1016/0022-2496(82)90005-0zbMath0516.92025OpenAlexW2057602683MaRDI QIDQ1052969

Mark L. Howe, Charles J. Brainerd, Johannes Kingma

Publication date: 1982

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

Full work available at URL: https://doi.org/10.1016/0022-2496(82)90005-0

zbMATH Keywords

parameter estimationhypothesis testingcompletely identifiable parameter spaceeleven-parameter modelgoodness-of-fit analysestwo-stage learning

Mathematics Subject Classification ID

Stochastic systems and control (93E99) Applications of statistics (62P99) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Mathematical psychology (91E99)

Related Items (2)

Thou shalt identify! The identifiability of two high-threshold models in confidence-rating recognition (and super-recognition) paradigms ⋮ Markovian interpretations of dual retrieval processes

Cites Work

• Unnamed Item
• Statistical methods for absorbing Markov-chain models for learning: Estimation and identification
• Parameterizations of Markov models for two-stage learning
• Markovian processes with identifiable states: General considerations and application to all-or-none learning
• Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters
• Statistical methods for a general theory of all-or-none learning
• Matrix analysis of identifiability of some finite Markov models
• `` Direct Search Solution of Numerical and Statistical Problems
• A Survey of Numerical Methods for Unconstrained Optimization
• The Use of Maximum Likelihood Estimates in $\chi^2$ Tests for Goodness of Fit

This page was built for publication: An identifiable model of two-stage learning