Truncated Rayleigh Odd Weibull Exponential Distribution with Application to COVID-19 Data
8th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2022
; : 410-416, 2022.
Article
in English
| Scopus | ID: covidwho-2248694
ABSTRACT
A proposed truncated Rayleigh odd Weibull-G family with one ofits sub-models, truncated Rayleigh odd Weibull exponential distribution, are introduced. Several statistical properties along with linear representation, reliability measures, entropies, and reliability stress strength model are presented. The unknown parameters are estimated through the maximum likelihood method. Simulation and real application are used to evaluate the new distribution's flexibility and usefulness. For different compared information criteria, the results clearly show that the proposed distribution has superior output relative to other competitive distributions demonstrating its consistent and flexible performance, as well as representing an optimal statistical model for the distribution of COVID-19 death cases in Iraq. © 2022 IEEE.
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Scopus
Language:
English
Journal:
8th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2022
Year:
2022
Document Type:
Article
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