The E-Bayesian Methods for the Inverse Weibull Distribution Rate Parameter Based on Two Types of Error Loss Functions

The E-Bayesian Methods for the Inverse Weibull Distribution Rate Parameter Based on Two Types of Error Loss Functions

Given a sample, E-Bayesian estimates, which are the expected Bayesian estimators over the joint distributions of two hyperparameters in the prior distribution, are developed for the inverse Weibull distribution rate parameter under the scaled squared error and linear exponential error loss functions...

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Bibliographic Details
Main Authors: Hassan M. Okasha, Abdulkareem M. Basheer, Yuhlong Lio
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
e-Bayesian estimation
EMSE
linear exponential error loss function
inverse weibull distribution
scaled squared error loss function
Monte Carlo simulation
Online Access:https://www.mdpi.com/2227-7390/10/24/4826

Internet

https://www.mdpi.com/2227-7390/10/24/4826

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