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316549

Information Matrix of the Vector of Parameters of the Bivariate Inverse Gaussian Distribution.

Article

Last updated: 05 Jan 2025

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Abstract

In this paper the elements of Fisher information matrix of the five parameters of the bivariate Inverse Gaussian distribution are derived and computed. The bivariate extension of Simpson's rule is used in the computations of the essential integral on which the twenty five elements of the information matrix are based.

DOI

10.21608/esju.1988.316549

Keywords

Bivariate Inverse Gaussian Distribution, Information matrix, Parameters, Simpson's Rule

Authors

First Name

Essam

Last Name

Al-Hussaini

MiddleName

K.

Affiliation

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Email

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City

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Orcid

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First Name

Khalaf

Last Name

Ahmad

MiddleName

E.

Affiliation

-

Email

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City

-

Orcid

-

First Name

Hanim

Last Name

Moustafa

MiddleName

M.

Affiliation

-

Email

-

City

-

Orcid

-

Volume

32

Article Issue

1

Related Issue

43397

Issue Date

1988-06-01

Receive Date

2023-09-07

Publish Date

1988-06-01

Page Start

32

Page End

42

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_316549.html

Detail API

https://esju.journals.ekb.eg/service?article_code=316549

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

Information Matrix of the Vector of Parameters of the Bivariate Inverse Gaussian Distribution.

Details

Type

Article

Created At

28 Dec 2024