Bayesian analysis for 3-component mixture of exponentiated Weibull distribution assuming non-informative priors

DOI10.1080/00949655.2019.1692840OpenAlexW2990183916MaRDI QIDQ5107727

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Publication date: 28 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1692840

zbMATH Keywords

simulationnon-informative priorsBayes estimatorsloss functionsexponentiated Weibull distributionposterior riskstest termination time

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

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Cites Work

• Bayesian estimation for the exponentiated Weibull model under type II progressive censoring
• Statistical decision theory and Bayesian analysis. 2nd ed
• The Exponentiated Weibull Family: A Reanalysis of the Bus-Motor-Failure Data
• The exponentiated weibull family: some properties and a flood data application
• On Prior Distributions for Binary Trials
• Modeling failure time data by lehman alternatives
• On the Exponentiated Weibull Distribution
• LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S
• An invariant form for the prior probability in estimation problems
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