Bayesian estimators of the scale parameter and reliability function of inverse Rayleigh distribution under three types of loss function

In this article Monte Carle simulation technique is employed to compare the performance of three types of standard Bayes estimators of the parameter and reliability function of invers Rayleigh distribution. Such estimators are based on square error loss function, linear exponential loss function and...

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Bibliographic Details
Main Authors: Ali, Bushra Abd Alrasool, Gorgees, Hazim Mansoor, Kathim, Raghad Ibrahim
Format: Conference Proceeding
Language:English
Subjects:
Estimators
Parameter estimation
Rayleigh distribution
Reliability
Online Access:Get full text
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Summary:In this article Monte Carle simulation technique is employed to compare the performance of three types of standard Bayes estimators of the parameter and reliability function of invers Rayleigh distribution. Such estimators are based on square error loss function, linear exponential loss function and entropy loss function with non-informative prior. The criterion means square error (MSE) is used to assess the performance of such estimators.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0027983