E-Bayesian estimation of Maxwell distribution and its evaluation standards: E-Posterior Risks and E-MSEs (expected mean square errors)

DOI10.1080/00949655.2022.2133117OpenAlexW4306248581MaRDI QIDQ6050559

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Publication date: 19 September 2023

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

Full work available at URL: https://doi.org/10.1080/00949655.2022.2133117

zbMATH Keywords

Maxwell distributionE-BayesianE-posterior riskE-MSE

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• E-Bayesian estimation for the Lomax distribution based on type-II censored data
• E-Bayesian estimation for the Burr type XII model based on type-2 censoring
• E-Bayesian estimation and hierarchical Bayesian estimation of failure rate
• E-Bayesian estimation and its E-posterior risk of the exponential distribution parameter based on complete and type I censored samples
• E-Bayesian estimation of the exponentiated distribution family parameter under LINEX loss function
• E-Bayesian estimations of parameter and its evaluation standard: E-MSE (expected mean square error) under different loss functions
• E-Bayesian estimation and its E-MSE under the scaled squared error loss function, for exponential distribution as example
• The E-Bayesian and hierarchical Bayesian estimations of Pareto distribution parameter under different loss functions

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