Likelihood-based tests for a class of misspecified finite mixture models for ordinal categorical data
From MaRDI portal
Publication:2177716
DOI10.1007/s11749-019-00626-wzbMath1439.62070OpenAlexW2910092353WikidataQ128535224 ScholiaQ128535224MaRDI QIDQ2177716
Roberto Colombi, Sabrina Giordano
Publication date: 6 May 2020
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11749-019-00626-w
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- Computing the distribution of quadratic forms: further comparisons between the Liu-Tang-Zhang approximation and exact methods
- Identifiability of extended latent class models with individual covariates
- Marginal models for categorical data
- Robustness issues for \textsc{cub} models
- Varying uncertainty in CUB models
- Essential Statistical Inference
- The Theory of Parametric Identification
- Flexible uncertainty in mixture models for ordinal responses
- Hierarchical marginal models with latent uncertainty
- Identification in Parametric Models
- On Information and Sufficiency
- Maximum Likelihood Estimation of Misspecified Models
- Modelling uncertainty and response styles in ordinal data