Beta
ManageSearchChatDiscover
386749

E-Bayesian estimation for the Lomax distribution based on type-II censored data

Article

Last updated: 31 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

-

Abstract

This paper is concerned with using the E-Bayesian method for computing estimates of
the unknown parameter and some survival time parameters e.g. reliability and hazard functions
of Lomax distribution based on type-II censored data. These estimates are derived based on a conjugate prior for the parameter under the balanced squared error loss function. A comparison
between the new method and the corresponding Bayes and maximum likelihood techniques is conducted using the Monte Carlo simulation.

Keywords

E-Bayes estimation, Bayes estimation, Lomax distribution, Type-II censoring, Balanced squared error loss function, Monte Carlo simulation

Authors

First Name

Hassan

Last Name

Okasha

MiddleName

M.

Affiliation

Department of Statistics, Faculty of Science, King Abdul Aziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia

Email

-

City

-

Orcid

-

Volume

22

Article Issue

3

Related Issue

50857

Issue Date

2014-10-01

Receive Date

2012-11-13

Publish Date

2014-10-01

Page Start

489

Page End

495

Print ISSN

1110-256X

Online ISSN

2090-9128

Article File

JOEMS_Volume 22_Issue 3_Pages 489-495.pdf

PDF . 476.1kB

Link

https://joems.journals.ekb.eg/article_386749.html

Detail API

https://joems.journals.ekb.eg/service?article_code=386749

Order

386,749

Type

Original Article

Type Code

3,248

Publication Type

Journal

Publication Title

Journal of the Egyptian Mathematical Society

Publication Link

https://joems.journals.ekb.eg/

MainTitle

E-Bayesian estimation for the Lomax distribution based on type-II censored data

Details

Type

Article

Created At

21 Dec 2024