Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values

The essential objective of this research is to develop a linear exponential (LINEX) loss function to estimate the parameters and reliability function of the Weibull distribution (WD) based on upper record values when both shape and scale parameters are unknown. We perform this by merging a weight in...

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Main Author: Fuad S. Al-Duais
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/9982916
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author Fuad S. Al-Duais
author_facet Fuad S. Al-Duais
author_sort Fuad S. Al-Duais
collection DOAJ
description The essential objective of this research is to develop a linear exponential (LINEX) loss function to estimate the parameters and reliability function of the Weibull distribution (WD) based on upper record values when both shape and scale parameters are unknown. We perform this by merging a weight into LINEX to produce a new loss function called the weighted linear exponential (WLINEX) loss function. Then, we utilized WLINEX to derive the parameters and reliability function of the WD. Next, we compared the performance of the proposed method (WLINEX) in this work with Bayesian estimation using the LINEX loss function, Bayesian estimation using the squared-error (SEL) loss function, and maximum likelihood estimation (MLE). The evaluation depended on the difference between the estimated parameters and the parameters of completed data. The results revealed that the proposed method is the best for estimating parameters and has good performance for estimating reliability.
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institution Kabale University
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spelling doaj-art-5dc3e05fe8334afa8a13832f0685e9d52025-02-03T01:04:08ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99829169982916Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record ValuesFuad S. Al-Duais0Mathematics Department, College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al Aflaj, Saudi ArabiaThe essential objective of this research is to develop a linear exponential (LINEX) loss function to estimate the parameters and reliability function of the Weibull distribution (WD) based on upper record values when both shape and scale parameters are unknown. We perform this by merging a weight into LINEX to produce a new loss function called the weighted linear exponential (WLINEX) loss function. Then, we utilized WLINEX to derive the parameters and reliability function of the WD. Next, we compared the performance of the proposed method (WLINEX) in this work with Bayesian estimation using the LINEX loss function, Bayesian estimation using the squared-error (SEL) loss function, and maximum likelihood estimation (MLE). The evaluation depended on the difference between the estimated parameters and the parameters of completed data. The results revealed that the proposed method is the best for estimating parameters and has good performance for estimating reliability.http://dx.doi.org/10.1155/2021/9982916
spellingShingle Fuad S. Al-Duais
Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
Complexity
title Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
title_full Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
title_fullStr Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
title_full_unstemmed Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
title_short Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values
title_sort bayesian estimations under the weighted linex loss function based on upper record values
url http://dx.doi.org/10.1155/2021/9982916
work_keys_str_mv AT fuadsalduais bayesianestimationsundertheweightedlinexlossfunctionbasedonupperrecordvalues