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248474

Classical and Bayesian Inference of GPW Distribution Based on Record Values: Estimation and Prediction

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Last updated: 22 Jan 2023

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Abstract

In this paper, the classical and Bayesian estimation of the parameters of generalized power Weibull distribution based on record values are discussed. Lindley approximation is used to obtain explicit forms of Bayes estimators. Also, the classical and Bayesian predictions of the future record values from generalized power Weibull distribution are discussed. A real dataset and the simulation study are presented for illustration purposes.

DOI

10.21608/jsfc.2021.248474

Keywords

generalized power Weibull distribution, Record values, squared error loss function, prediction, Bayes estimation, Lindley approximation, Maximum likelihood estimation, application

Authors

First Name

محمود على سليم

Last Name

الصانع

MiddleName

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Affiliation

کلية التجارة جامعة الازهر

Email

selim.one@gmail.com

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Volume

25

Article Issue

1

Related Issue

35512

Issue Date

2021-01-01

Receive Date

2020-07-06

Publish Date

2021-01-01

Page Start

24

Page End

44

Print ISSN

1687-322X

Article File

JSFC_Volume 25_Issue 1_Pages 24-44.pdf

PDF . 9.0MB

Link

https://jsfc.journals.ekb.eg/article_248474.html

Detail API

https://jsfc.journals.ekb.eg/service?article_code=248474

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المقالة الأصلية

Type Code

761

Publication Type

Journal

Publication Title

المجلة العلمية لقطاع کليات التجارة

Publication Link

https://jsfc.journals.ekb.eg/

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Article

Created At

22 Jan 2023