Derivations of learning statistics from absorbing Markov chains

DOI10.1007/BF02289345zbMath0174.50408OpenAlexW1966364241MaRDI QIDQ2532757

Richard Millward

Publication date: 1969

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02289345

zbMATH Keywords

statistics

Related Items

Population states and eigenstructures: A simplifying view of Markov learning models, Presolution performance functions for Markov models, Statistical methods for absorbing Markov-chain models for learning: Estimation and identification, A discrete time model for detection of randomly presented stimuli, Matrix analysis of identifiability of some finite Markov models, Some deterministic models of concept identification

Cites Work

• Unnamed Item
• An all-or-none model for noncorrection routines with elimination of incorrect responses
• Derivation of learning process statistics for a general Markov model
• Application of a model to paired-associate learning