On New Weibull Inverse Lomax Distribution with Applications

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Published: Jun 1, 2022
DOI: https://doi.org/10.21123/bsj.2022.19.3.0528

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Jamilu Yunusa Falgore
Department of Statistics, Ahmadu Bello University Zaria-Nigeria.
https://orcid.org/0000-0003-4762-1560
Sani Ibrahim Doguwa
Department of Statistics, Ahmadu Bello University Zaria-Nigeria.

Abstract

In this paper, simulation studies and applications of the New Weibull-Inverse Lomax (NWIL) distribution were presented. In the simulation studies, different sample sizes ranging from 30, 50, 100, 200, 300, to 500 were considered. Also, 1,000 replications were considered for the experiment. NWIL is a fat tail distribution. Higher moments are not easily derived except with some approximations. However, the estimates have higher precisions with low variances. Finally, the usefulness of the NWIL distribution was illustrated by fitting two data  sets

Received 18/12/2020,  Accepted 10/1/2021,  Published Online First 20/11/2021  

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1.
On New Weibull Inverse Lomax Distribution with Applications. Baghdad Sci.J [Internet]. 2022 Jun. 1 [cited 2024 Apr. 18];19(3):0528. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4615
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Vol. 19 No. 3 (2022): Issue 3
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article
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biography

Jamilu Yunusa Falgore, Department of Statistics, Ahmadu Bello University Zaria-Nigeria.

Department of Statistics, Ahmadu Bello University Zaria-Nigeria.

How to Cite

1.
On New Weibull Inverse Lomax Distribution with Applications. Baghdad Sci.J [Internet]. 2022 Jun. 1 [cited 2024 Apr. 18];19(3):0528. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/4615
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