A Flexible Extension of Reduced Kies Distribution: Properties, Inference, and Applications in Biology-Reference-Cited by-同舟云学术

A Flexible Extension of Reduced Kies Distribution: Properties, Inference, and Applications in Biology

Published:2022-10-05 Issue: Volume:2022 Page:1-19
ISSN:1099-0526
Container-title:Complexity
language:en
Short-container-title:Complexity

Author:

Almuqrin Muqrin A.¹^ORCID,Gemeay Ahmed M.²,El-Raouf M. M. Abd³^ORCID,Kilai Mutua⁴^ORCID,Aldallal Ramy⁵^ORCID,Hussam Eslam⁶^ORCID

Affiliation:

1. Department of Mathematics, Faculty of Science in Zulfi, Majmaah University, Al Majma'ah 11952, Saudi Arabia

2. Department of Mathematics, Faculty of Science, Tanta University, Tanta 31527, Egypt

3. Basic and Applied Science Institute, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandria, Egypt

4. Department of Mathematics, Pan-African Institute of Basic Science Technology and Innovation, Nairobi, Kenya

5. Department of Accounting, College of Business Administration in Hawtat Bani Tamim, Prince Sattam bin Abdulaziz University, Hawtat Bani Tamim, Saudi Arabia

6. Department of Mathematics, Faculty of Science, Helwan University, Cairo, Egypt

Abstract

The extended reduced Kies distribution (ExRKD), which is an asymmetric flexible extension of the reduced Kies distribution, is the subject of this research. Some of its most basic mathematical properties are deduced from its formal definitions. We computed the ExRKD parameters using eight well-known methods. A full simulation analysis was done that allows the study of these estimators’ asymptotic behavior. The efficiency and applicability of the ExRKD are investigated via the modeling of COVID-19 and milk data sets, which demonstrates that the ExRKD delivers a better match to the data sets when compared to competing models.

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Link

http://downloads.hindawi.com/journals/complexity/2022/6078567.pdf

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