Three-component mixture of Rayleigh model under doubly censored samples: a Bayesian look

DOI10.1007/s40304-018-0147-8zbMath1428.62112OpenAlexW2888897031MaRDI QIDQ2280037

Navid Feroze, Muhammad Aslam

Publication date: 17 December 2019

Published in: Communications in Mathematics and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40304-018-0147-8

zbMATH Keywords

posterior distributionprior elicitationloss functionsmixture distributions

Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

Improved estimators for analyzing highly skewed environmental datasets with detection limits

Uses Software

• BayesDA

Cites Work

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• A Bayesian MCMC approach to survival analysis with doubly-censored data
• Bayesian estimation and prediction intervals for a Rayleigh distribution under a conjugate prior
• On the Bayesian analysis of the mixture of power function distribution using the complete and the censored sample
• Estimators for the Finite Mixture of Rayleigh Model Based on Progressively Censored Data

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