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315040

Minimum Expected Loss Estimators of The Parameters of the Inverse Gaussian Distribution

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Last updated: 28 Dec 2024

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Abstract

The parameters of the inverse Gaussian distribution are estimated by assuming a weighted squared-error loss function and minimizing the corresponding expected loss with respect to the posterior distribution. These estimators are called minimum expected loss (MELO). We compare the MELO estimators with the corresponding maximum likelihood estimators (MLE) and Bayes estimators using a squared-error loss function (SELO).

DOI

10.21608/esju.1990.315040

Keywords

Bayes estimators, Inverse Gaussian distribution, Maximum likelihood estimation, Minimum Expected Loss Estimators, loss function

Authors

First Name

Mohamed

Last Name

Mahmoud

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Volume

34

Article Issue

2

Related Issue

43205

Issue Date

1990-12-01

Receive Date

2023-08-29

Publish Date

1990-12-01

Page Start

260

Page End

270

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_315040.html

Detail API

https://esju.journals.ekb.eg/service?article_code=315040

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Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

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

MainTitle

Minimum Expected Loss Estimators of The Parameters of the Inverse Gaussian Distribution

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Article

Created At

28 Dec 2024