Bayesian Estimators of the Scale Parameter and Reliability Function of Inverse Rayleigh Distribution under Three Types of Loss Function

被引：0

作者：

Ali, Bushra Abd Alrasool ^{[1
]}

Gorgees, Hazim Mansoor ^{[2
]}

Kathim, Raghad Ibrahim ^{[3
]}

机构：

[1] Minist Educ, Baghdad, Iraq

[2] Coll Educ Pure Sci Ibn Al Haitham, Baghdad, Iraq

[3] Al Yarmouk Univ Coll, Baghdad, Iraq

来源：

8TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY (ICAST 2020) | 2020年 / 2290卷

关键词：

Standard Bayes estimator; loss function; non-informative prior; mean square error;

D O I：

10.1063/5.0027983

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this article Monte Cade simulation technique is employed to compare the performance of three types of standard Bayes estimators of the parameter and reliability function of Myers 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.

引用

页数：5

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