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314991

Testing Inverse Gaussian Versus Log Normal

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Last updated: 05 Jan 2025

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Abstract

The inverse Gaussian distribution has been proposed as a model for distribution of life times. It is considered as an alternative to other observed distributions in particular to the lognormal. In this paper we consider a separate families of hypotheses test to detect departure from the inverse Gaussian in the direction of the lognormal, also considered is the case when the two hypotheses are changed, i.e. when it is required to test the departure from the lognormal in the direction of the inverse Gaussian. Comparison with a modified Kolmogorov-Smirnov test for the inverse Gaussian density is also considered

DOI

10.21608/esju.1991.314991

Keywords

Inverse Gaussian, Lognormal, Separate families of hypothesis, Modified Kolmogorov - Smirnov Test

Authors

First Name

S.A.

Last Name

Shaban

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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

1

Page End

12

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_314991.html

Detail API

https://esju.journals.ekb.eg/service?article_code=314991

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1

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Testing Inverse Gaussian Versus Log Normal

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Article

Created At

28 Dec 2024