Bayesian estimation in the three-parameter logistic model
type: Item
instance of: scholarly article
title: Bayesian estimation in the three-parameter logistic model
zbMATH Open document ID: 0636.62023
DOI: 10.1007/BF02295598
author: Hariharan Swaminathan
author: Janice A. Gifford
published in: Psychometrika
publication date: 1986-01-01T00:00:00Z
review text: The authors develop a joint Bayesian estimation procedure to estimate the parameters in the three parameter logistic model. They make some proposals on specification of prior distribution. The simulation study shows that the estimators stay in the parameter space and behave better than the joint maximum likelihood procedure.
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P15
zbMATH DE Number: 4036915
zbMATH Keywords: item resonse theory
zbMATH Keywords: joint Bayesian estimation procedure
zbMATH Keywords: three parameter logistic model
zbMATH Keywords: specification of prior distribution
zbMATH Keywords: simulation study
zbMATH Keywords: joint maximum likelihood procedure
reviewed by: Marie Hušková
describes a project that uses: LOGIST
MaRDI profile type: Publication
cites work: Q5658973
cites work: Bayes modal estimation in item response models
cites work: The estimation of proportions in m groups
cites work: Bayesian estimation in the two-parameter logistic model
full work available at URL: https://doi.org/10.1007/bf02295598
OpenAlex ID: W4255344718
description: scientific article; zbMATH DE number 4036915