Type Ii Half Logisitic Exponentiated Lomax Distribution

Bukoye Abdulwasiu; Bada Olatunbosn; Muritala Abdulkabir; Ajadi, A.Akeem

Type Ii Half Logisitic Exponentiated Lomax Distribution

Bukoye Abdulwasiu *

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Bada Olatunbosn

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Muritala Abdulkabir

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Ajadi, A.Akeem

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Type Ii Half Logisitic Exponentiated Lomax Distribution

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Abstract

In this paper, we introduces a new distribution called Type II half logistic exponentiated lomax (TIIHLEE) distribution established from Type II half logistic G family of distribution We investigate some of its mathematical and statistical properties such as the explicit form of the ordinary moments, moment generating function, conditional moments, mean deviations, residual life and Renyi entropy. The maximum likelihood method is used to estimate the model parameters. Simulation studies were conducted to assess the finite sample behavior of the maximum likelihood estimators. Finally, we illustrate the importance and applicability of the model by the study of two real data sets.

References

19 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Bukoye Abdulwasiu, Bada Olatunbosn, Muritala Abdulkabir, Ajadi, A.Akeem. 2021. "Type Ii Half Logisitic Exponentiated Lomax Distribution". Global Journal of Science Frontier Research, Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 21 (GJSFR Volume 21 Issue F3).

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GJSFR Volume 21 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-F Classification MSC 2010: 11D61

Submission ReceivedMarch 6, 2021
Peer Review Double Blind
Handling Editor
Accepted March 31, 2021
Published April 11, 2021

Version of record

v1.2

Issue date

July 2, 2021

Language

English

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