A factor mixture analysis model for multivariate binary data
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Publication:4970957
DOI10.1177/1471082X1101200303MaRDI QIDQ4970957
Publication date: 8 October 2020
Published in: Statistical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1010.2314
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Uses Software
Cites Work
- Analysis of residuals for the multinomial item response model
- Latent class models for classification
- Latent class models for mixed variables with applications in archaeometry
- Parameter constraints in generalized linear latent variable models
- Estimating the dimension of a model
- Finite mixtures in confirmatory factor-analysis models
- The EM Algorithm and Extensions, 2E
- Model-Based Gaussian and Non-Gaussian Clustering
- A latent trait and a latent class model for mixed observed variables
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm
- Exploratory latent structure analysis using both identifiable and unidentifiable models
- Heteroscedastic factor mixture analysis
- Limited- and Full-Information Estimation and Goodness-of-Fit Testing in 2nContingency Tables
- A new look at the statistical model identification
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