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315037

Sampling Distribution for Some Goodness of Fit Tests for Two Parameter Weibull Distribution Using Censored Samples

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Last updated: 05 Jan 2025

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Abstract

This paper is concerned with a numerical derivation of the sampling distributions of the Kolmogorov-Smirnov (K-S) and Cramer-Von Mises (CVM) tests for two parameter Weibull distribution using censored samples. For small and moderate sample sizes, Pearson system and Monte Carlo technique proved that the sampling distributions for the two test statistics are Pearson type II with different parameters. Tables of complete beta function can be used to obtain critical values for the two tests. Results in the case of complete samples may be considered as special cases of the present results.

DOI

10.21608/esju.1990.315037

Keywords

Censored Samples, Cramer-Von Mises Test, Kolmogorov-Smirnov test, Sampling distribution, Two Parameter Weibull Distribution

Authors

First Name

Samir

Last Name

Ashour

MiddleName

Kamel

Affiliation

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Orcid

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First Name

Sarhan

Last Name

Sarhan

MiddleName

Hussein

Affiliation

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Email

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City

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Orcid

-

First Name

Moustapha

Last Name

Ali

MiddleName

Mohamed

Affiliation

-

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-

City

-

Orcid

-

Volume

34

Article Issue

1

Related Issue

43204

Issue Date

1990-06-01

Receive Date

2023-08-29

Publish Date

1990-06-01

Page Start

193

Page End

206

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_315037.html

Detail API

https://esju.journals.ekb.eg/service?article_code=315037

Order

7

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Sampling Distribution for Some Goodness of Fit Tests for Two Parameter Weibull Distribution Using Censored Samples

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Article

Created At

28 Dec 2024