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316588

Estimation of Weibull Parameters when Sample Size is Unknown

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Last updated: 05 Jan 2025

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Abstract

In censored type II sampling, the total number, n, of individuals may be unknown. If the parent distribution is the one parameter exponential distribution, Blumenthal and Marcus (1975) estimated n using Bayesian and non-Bayesian approaches under the assumption that n treated as an integer value. In the present work we shall extend their results to the case where the underlying life time distribution is Weibull probability density function under the assumption that n will be treated as an continuous variable**. The extension will include the non-Bayesian and Bayesian estimators of the parameters and the unknown sample size n. A numerical investigation will be present for some difficult formulas using random numbers and computer facilities. A numerical comparison between Bayesian and non-Bayesian results will be made under the above two restrictions.

DOI

10.21608/esju.1986.316588

Keywords

Weibull distribution, Maximum likelihood estimation, Asymptotic Variance, Covariance matrix, Bayesian estimation, Numerical investigation

Authors

First Name

Osman

Last Name

Shalaby

MiddleName

Aly

Affiliation

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Email

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Orcid

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Volume

30

Article Issue

2

Related Issue

43404

Issue Date

1986-12-01

Receive Date

2023-09-07

Publish Date

1986-12-01

Page Start

25

Page End

34

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_316588.html

Detail API

https://esju.journals.ekb.eg/service?article_code=316588

Order

2

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Estimation of Weibull Parameters when Sample Size is Unknown

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Type

Article

Created At

28 Dec 2024