355865

Maximum Likelihood Estimation of Pr(X >Y) from Exponential Distribution with Two parameters Under Hybrid Censored Samples

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Last updated: 05 Jan 2025

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Abstract

Abstract This paper present the estimation of the stress-strength parameter R = Pr(X >Y), when X and Y are two independent exponential random variables with a different scale parameter but having the same location parameter based on hybrid censored samples. The maximum likelihood estimators (MLE) is obtained, the asymptotic distribution of the MLE of R is also obtained, and they have been used to construct the asymptotic confidence interval of R, the Bootstrap-t method is produced and Monte Carlo simulation is presented to evaluate the MLE estimation.   Key Words and Phrases: Hybrid censoring; two-parameter exponential distribution; maximum likelihood estimators; bootstrap confidence interval.

DOI

10.21608/skjaz.2017.355865

Authors

First Name

Abeer. S.

Last Name

Mohamed

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Affiliation

Department of Statistics, Faculty of Commerce (Girls' Branch), Al-Azhar University

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Volume

63

Article Issue

63

Related Issue

47852

Issue Date

2017-12-01

Receive Date

2024-05-23

Publish Date

2017-12-01

Page Start

3

Page End

15

Print ISSN

2357-0636

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https://skjaz.journals.ekb.eg/article_355865.html

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https://skjaz.journals.ekb.eg/service?article_code=355865

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355,865

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المقالة الأصلية

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3,070

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Journal

Publication Title

مجلة مركز صالح كامل للإقتصاد الإسلامى بجامعة الأزهر

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https://skjaz.journals.ekb.eg/

MainTitle

Maximum Likelihood Estimation of Pr(X >Y) from Exponential Distribution with Two parameters Under Hybrid Censored Samples

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Article

Created At

21 Dec 2024