A study on the effect of the loss function on Bayesian estimation and posterior risk of binomial distribution

DOI10.1080/03610926.2020.1719160OpenAlexW3004144029MaRDI QIDQ5078916

Ming Han

Publication date: 25 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2020.1719160

zbMATH Keywords

Monte Carlo simulationBayesian estimationMCMC methodposterior riskquasi-modified squared error loss function

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Statistics (62-XX)

Related Items (2)

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Cites Work

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• A study of the effect of the loss function on Bayes estimate, posterior risk and hazard function for lindley distribution
• E-Bayesian estimation of the reliability derived from binomial distribution
• E-Bayesian estimation for the Burr type XII model based on type-2 censoring
• E-Bayesian estimation and hierarchical Bayesian estimation of failure rate
• Estimation of scale parameter under entropy loss function
• E-Bayesian estimation for the geometric model based on record statistics
• Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques
• E-Bayesian estimation of failure probability and its application
• E-Bayesian and hierarchical Bayesian estimations for the system reliability parameter based on asymmetric loss function
• Bayesian Estimation and Prediction Using Asymmetric Loss Functions
• ON BAYESIAN ANALYSIS OF BINOMIAL RELIABILITY GROWTH
• E-Bayesian estimation of the exponentiated distribution family parameter under LINEX loss function
• E-Bayesian estimation for the proportional hazard rate model based on record values
• E-Bayesian estimations of the reliability and its E-posterior risk under different loss functions
• The E-Bayesian and hierarchical Bayesian estimations of Pareto distribution parameter under different loss functions
• E-Bayesian estimations for the cumulative hazard rate and mean residual life based on exponential distribution and record data

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