Maximum likelihood estimators in finite mixture models with censored data

DOI10.1016/j.jspi.2010.05.006zbMath1197.62026OpenAlexW2031334505MaRDI QIDQ710753

Yoichi Miyata

Publication date: 22 October 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.05.006

zbMATH Keywords

maximum likelihood estimatorscensored datastrong consistencyfinite mixture

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Censored data models (62N01)

Related Items (3)

Asymptotic properties of the estimator for a finite mixture of exponential dispersion models ⋮ Finite mixture of regression models for censored data based on scale mixtures of normal distributions ⋮ Inference of finite mixture models and the effect of binning

Cites Work

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• A constrained formulation of maximum-likelihood estimation for normal mixture distributions
• Note on the consistency of the maximum likelihood estimate for nonidentifiable distributions
• A stochastic EM algorithm for mixtures with censored data
• Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
• ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA
• Finite mixture models
• The Consistency of Estimators in Finite Mixture Models
• Identifiability of Finite Mixtures
• On the Identifiability of Finite Mixtures
• Note on the Consistency of the Maximum Likelihood Estimate

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