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315050

Approximate Prediction Limits for The Weibull and Extreme Values Regression Models

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Last updated: 28 Dec 2024

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Abstract

The problem of constructing two-sided prediction intervals for the Weibull and extreme value regression models is considered. The interval procedures can be applied for censored or uncensored data. Bootstrap procedures are proposed to find such intervals for randomly censored data. The single Weibull and extreme value distribution models are considered as special cases. A simulation study is performed to investigate the accuracy of the procedures in complete sample cases.

DOI

10.21608/esju.1990.315050

Keywords

Bootstrap Procedure, Extreme Value Regression Model, Prediction Intervals, Randomly Censored Data, Weibull regression model

Authors

First Name

Mohamed

Last Name

Abdelhafez

MiddleName

E.M.

Affiliation

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Email

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City

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Orcid

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First Name

David

Last Name

Thomas

MiddleName

T.

Affiliation

-

Email

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City

-

Orcid

-

Volume

34

Article Issue

2

Related Issue

43205

Issue Date

1990-12-01

Receive Date

2023-08-29

Publish Date

1990-12-01

Page Start

408

Page End

419

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_315050.html

Detail API

https://esju.journals.ekb.eg/service?article_code=315050

Order

9

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Approximate Prediction Limits for The Weibull and Extreme Values Regression Models

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Article

Created At

28 Dec 2024