Truncated Cauchy Power Weibull-G Class of Distributions: Bayesian and Non-Bayesian Inference Modelling for COVID-19 and Carbon Fiber Data

Truncated Cauchy Power Weibull-G Class of Distributions: Bayesian and Non-Bayesian Inference Modelling for COVID-19 and Carbon Fiber Data

The Truncated Cauchy Power Weibull-G class is presented as a new family of distributions. Unique models for this family are presented in this paper. The statistical aspects of the family are explored, including the expansion of the density function, moments, incomplete moments (IMOs), residual life...

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Bibliographic Details
Main Authors: Naif Alotaibi, Ibrahim Elbatal, Ehab M. Almetwally, Salem A. Alyami, A. S. Al-Moisheer, Mohammed Elgarhy
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematics
Subjects:
truncated Cauchy power family
Weibull family
entropy
moments
maximum likelihood estimation
Bayesian estimations
Online Access:https://www.mdpi.com/2227-7390/10/9/1565

Internet

https://www.mdpi.com/2227-7390/10/9/1565

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