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315769

Bayesian Estimation of a Linear Functional Relationship

Article

Last updated: 05 Jan 2025

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Abstract

In this paper we give a Bayesian analysis to a linear functional relationship using Jeffreys' invariance rule to choose the prior distribution for the unknown parameters. We study the problem in three different cases according to the given information about the variances of the observations.

DOI

10.21608/esju.1974.315769

Keywords

Bayesian Analysis, Linear Functional Relationship, Jeffreys' Invariance Rule

Authors

First Name

G.

Last Name

El-Sayyad

MiddleName

M.

Affiliation

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Orcid

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Volume

18

Article Issue

2

Related Issue

43310

Issue Date

1974-12-01

Receive Date

2023-09-03

Publish Date

1974-12-01

Page Start

91

Page End

100

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_315769.html

Detail API

https://esju.journals.ekb.eg/service?article_code=315769

Order

3

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Bayesian Estimation of a Linear Functional Relationship

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Article

Created At

28 Dec 2024