Bayesian prediction based on finite mixtures of lomax components model and type i censoring

DOI10.1080/02331880108802735zbMath0979.62009OpenAlexW2095469018MaRDI QIDQ2762609

A. M. Nigm, Zeinhum F. Jaheen, Essam K. AL-Hussaini

Publication date: 18 February 2002

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880108802735

zbMATH Keywords

mixtureBayesian predictiontype I censoringLomax components

Mathematics Subject Classification ID

Bayesian inference (62F15)

Related Items (9)

Bayesian prediction of future number of failures based on finite mixture of general class of distributions ⋮ One- and Two-Sample Bayesian Prediction Intervals Based on Type-II Hybrid Censored Data ⋮ ON BAYES PREDICTION OF FUTURE MEDIAN ⋮ One- and Two-Sample Bayesian Prediction Intervals Based on Type-I Hybrid Censored Data ⋮ Prediction under an adaptive progressive type-II censoring scheme for Burr Type-XII distribution ⋮ On Bayesian interval prediction of future records ⋮ Bayesian one-sample prediction of future observations under Pareto distribution ⋮ Unnamed Item ⋮ Bayesian predictive density of order statistics based on finite mixture models

Cites Work

• Remarks on the non-identifiability of mixtures of distributions
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• Statistical analysis of finite mixture distributions
• On the identifiability of finite mixtures of distributions (Corresp.)
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