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313813

Bayesian Estimation of a Linear Parametric Function Using Doubly Censored Data

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Last updated: 28 Dec 2024

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Abstract

On the basis of a doubly censored random sample drawn from a shifted exponential distribution with scale parameter and location m, and in a Bayesian framework, we considering the problem of estimating ,m, and the linear function m+aθ. The derived class of estimators are then compared, in a numerical study, to their invariant counterparts proposed by Elfessi (1997) as improvements over the best alline equivariant estimator (BAEE). The results show that the Bayes estimators are smoother and provide higher risk improvements over the BAEE than the Stein type estimators.  

DOI

10.21608/esju.2001.313813

Keywords

Bayes estimators, Exponential distribution, Scale and Location Parameters, Squared Error Loss, Risk Improvements

Volume

45

Article Issue

2

Related Issue

43029

Issue Date

2001-12-01

Publish Date

2001-12-01

Page Start

172

Page End

181

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_313813.html

Detail API

https://esju.journals.ekb.eg/service?article_code=313813

Order

5

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Bayesian Estimation of a Linear Parametric Function Using Doubly Censored Data

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Article

Created At

28 Dec 2024