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244765

On the Fuzzy Reliability Estimation for standard Kumaraswamey Distribution

Article

Last updated: 28 Dec 2024

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Subjects

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Tags

Computer and Technology Science.

Abstract

In this article, we considered tow procedures to estimate the fuzzy reliability for Kumaraswamy distribution,  first depends on fuzzy reliability definition that uses the trapezoidal rule in order to find the numerical integration,  and second is Bayesian procedure which in clouds different cases depends on sample data and hyper –parameters of prior gamma distribution.

DOI

10.21608/bjas.2022.244765

Keywords

Fuzzy reliability, Kumaraswamy distribution, Maximum likelihood, Bayesian estimation, Membership functions

Authors

First Name

N.A.

Last Name

AL-Saadoon

MiddleName

-

Affiliation

Statistics, Mathematics, and Insurance, Faculty of Commerce, Benha Univ., Benha, Egypt

Email

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City

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Orcid

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First Name

M.M.

Last Name

Ramadan

MiddleName

-

Affiliation

Statistics, Mathematics, and Insurance, Faculty of Commerce, Benha Univ., Benha, Egypt

Email

-

City

-

Orcid

-

First Name

R.S.

Last Name

Mahmoud

MiddleName

-

Affiliation

Statistics, Mathematics, and Insurance, Faculty of Commerce, Benha Univ., Benha, Egypt

Email

-

City

-

Orcid

-

Volume

7

Article Issue

5

Related Issue

34936

Issue Date

2022-05-01

Receive Date

2022-05-18

Publish Date

2022-05-01

Page Start

157

Page End

164

Print ISSN

2356-9751

Online ISSN

2356-976X

Article File

BJAS_Volume 7_Issue 5_Pages 157-164.pdf

PDF . 849.8kB

Link

https://bjas.journals.ekb.eg/article_244765.html

Detail API

https://bjas.journals.ekb.eg/service?article_code=244765

Order

23

Type

Original Research Papers

Type Code

1,647

Publication Type

Journal

Publication Title

Benha Journal of Applied Sciences

Publication Link

https://bjas.journals.ekb.eg/

MainTitle

On the Fuzzy Reliability Estimation for standard Kumaraswamey Distribution

Details

Type

Article

Created At

23 Jan 2023