Minimum \(\phi\)-divergence estimation in constrained latent class models for binary data

DOI10.1007/s11336-015-9450-4zbMath1329.62458arXiv1406.0109OpenAlexW2018692836WikidataQ30901584 ScholiaQ30901584MaRDI QIDQ906050

N. E. Zubov

Publication date: 29 January 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1406.0109

zbMATH Keywords

asymptotic distributionmaximum-likelihood estimatorlatent class modelsminimum phi-divergence estimator

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (4)

Statistical inference in constrained latent class models for multinomial data based on \(\phi\)-divergence measures ⋮ A family of the information criteria using the phi-divergence for categorical data ⋮ Power divergence family of statistics for person parameters in IRT models ⋮ Phi-divergence test statistics applied to latent class models for binary data

Cites Work

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• Linear Logistic Latent Class Analysis
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• Asymptotic divergence of estimates of discrete distributions
• Latent Class Analysis of Survey Error
• Constrained latent class models: Theory and applications
• `` Direct Search Solution of Numerical and Statistical Problems
• Exploratory latent structure analysis using both identifiable and unidentifiable models

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