A comparison of model selection indices for nested latent class models

DOI10.1515/156939606778705164zbMath1203.62099OpenAlexW4234761985MaRDI QIDQ3431325

Ting Hsiang Lin

Publication date: 10 April 2007

Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/156939606778705164

zbMATH Keywords

model selectioninformation criteriachi-squared statistics

Mathematics Subject Classification ID

Statistical aspects of information-theoretic topics (62B10) Nonparametric inference (62G99)

Related Items (2)

Model selection information criteria in latent class models with missing data and contingency question ⋮ Model Selection Information Criteria in Latent Class Models with Missing Data and Contingency Question

Uses Software

• GAUSS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multi-sample cluster analysis using Akaike's information criterion
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Factor analysis and AIC
• The application of latent class models in adaptive testing
• A probabilistic model for validation of behavioral hierarchies
• Estimating the dimension of a model
• Approximations by graphs and emergence of global structures
• A New Model for Scaling Response Patterns: An Application of the Quasi-Independence Concept

This page was built for publication: A comparison of model selection indices for nested latent class models