A new extension of Chris-Jerry distribution with its properties

C. Subramanian; M. Subhashree

doi:10.2478/jamsi-2024-0001

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A new extension of Chris-Jerry distribution with its properties

Journal of Applied Mathematics, Statistics and Informatics

Volume 20 (2024): Issue 1 (May 2024)

By: C. Subramanian and M. Subhashree

Open Access

|Jun 2024

Abstract

In this article, we proposed a new probability distribution called length-biased Chris-Jerry distribution in which length-biased distribution is a specific case of weighted distribution. Also, we determined the structural properties of length-biased Chris-Jerry distribution and the unknown parameters were estimated by maximum likelihood estimator and tested by likelihood ratio test. Finally, we emphasized a real lifetime data set to reveal how the proposed distribution worked in it.

References

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Articles in this issue

DOI: https://doi.org/10.2478/jamsi-2024-0001 | Journal eISSN: 1339-0015 | Journal ISSN: 1336-9180

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Language: English

Page range: 5 - 16

Submitted on: Apr 1, 2023

Published on: Jun 3, 2024

Published by: University of Ss. Cyril and Methodius in Trnava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Length-biased distribution,

Chris-Jerry distribution,

Reliability analysis,

Moments,

Maximum likelihood estimator

Related subjects:

Computer sciences,

Information technology,

Mathematics,

Logic and set theory,

Probability and statistics,

Applied mathematics

© 2024 C. Subramanian, M. Subhashree, published by University of Ss. Cyril and Methodius in Trnava
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 20 (2024): Issue 1 (May 2024)