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314999

Maximum Likelihood Estimation for Non-Linear Failure Rate & Progressive Censored Samples

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Last updated: 28 Dec 2024

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Abstract

The problem of maximum likelihood estimation of the three unknown parameters of a non-linear failure rate is discussed using progressive censored type II samples. Maximum likelihood estimates and their approximate asymptotic variance covariance matrix are derived. Some earlier results may be considered as special cases from the present results. Numerical illustration using a numerical example and computer facilities is carried out.

DOI

10.21608/esju.1991.314999

Keywords

failure rate, Maximum likelihood, Asymptotic Variance Covariance Matrix, Weibull distribution, Exponential distribution, Iterative Procedure, Random Numbers

Authors

First Name

S.A.

Last Name

Salem

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Orcid

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Volume

35

Article Issue

1

Related Issue

43184

Issue Date

1991-06-01

Receive Date

2023-08-28

Publish Date

1991-06-01

Page Start

110

Page End

118

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_314999.html

Detail API

https://esju.journals.ekb.eg/service?article_code=314999

Order

8

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Maximum Likelihood Estimation for Non-Linear Failure Rate & Progressive Censored Samples

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Article

Created At

28 Dec 2024