Inference Using Latent Variables for Mixtures of Distributions for Censored Data with Partial Identification

DOI10.1081/STA-120018827zbMath1048.62091MaRDI QIDQ4801415

Eduardo Gutiérrez-Peña, Alberto Contreras-Cristán, Federico J. O'Reilly

Publication date: 7 April 2003

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (3)

Inferencia estadística para mezclas finitas de distribuciones con censura e identificación parcial usando variables latentes ⋮ Inferences for Mixtures of Distributions for Centrally Censored Data with Partial Identification ⋮ Using the EM algorithm for inference in a mixture of distributions with censored but partially identifiable data

Cites Work

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• A note on noninformative priors for Weibull distributions.
• ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Sampling-Based Approaches to Calculating Marginal Densities
• Fisher’s observed information matrix for location and scale parameters under type i censoring
• A Simplex Method for Function Minimization
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.

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