The Nakagami–Weibull distribution in modeling real-life data

İbrahim Abdullahi

doi:10.17776/csj.828677

EN

The Nakagami–Weibull distribution in modeling real-life data

Abstract

In this article, a four-parameter Nakagami Weibull distributions (NW) is proposed. We study a few statistical properties such as quantile function, moments, moment generating function, entropy, and order statistics have been derived. The maximum likelihood estimate is used to estimate the parameter of the NW distribution. We fit the proposed NW distribution to a real-life data set to examine its potential and flexibility. Our findings showed that the NW distribution performs much better than its competitors, with favorable comparisons to existing distributions in terms of goodness-of-fit.

Keywords

References

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Details

Primary Language

English

Subjects

Statistics

Journal Section

Research Article

Authors

İbrahim Abdullahi ^*
0000-0002-7280-3035
Nigeria

Publication Date

June 30, 2021

Submission Date

November 21, 2020

Acceptance Date

April 28, 2021

Published in Issue

Year 2021 Volume: 42 Number: 2

DOI

https://doi.org/10.17776/csj.828677

IZ

https://izlik.org/JA64AP45UC

Cite

RIS / Bibtex

APA

Abdullahi, İ. (2021). The Nakagami–Weibull distribution in modeling real-life data. Cumhuriyet Science Journal, 42(2), 422-433. https://doi.org/10.17776/csj.828677

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Öz

The Nakagami–Weibull distribution in modeling real-life data

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

Theory, simulation, and application of the entropy transformation of the Chen distribution to enhance interdisciplinary data analysis

New Nakagami Weibull Distribution: A New Approach with Data Applications