A new extention of the odd inverse Weibull-G family of distributions: Bayesian and non-Bayesian estimation with engineering applications

YY Abdelall, AS Hassan… - … Journal of Mathematical …, 2024 - cjmss.journals.ekb.eg
In this work, we propose a novel generator called the" extended odd inverse Weibull-
generator" to obtain better distribution flexibility. This generator is considered as a …

[HTML][HTML] The weighted inverse Weibull distribution: Heavy-tailed characteristics, Monte Carlo simulation with medical application

M AbaOud, MA Almuqrin - Alexandria Engineering Journal, 2024 - Elsevier
Probability distributions are very important in describing practical phenomena. Among the
available probability distributions, the three-parameter generalized inverse Weibull (for short …

[HTML][HTML] New Arctan-generator family of distributions with an example of Frechet distribution: Simulation and analysis to strength of glass and carbon fiber data

A Ahmad, FM Alghamdi, A Ahmad, O Albalawi… - Alexandria Engineering …, 2024 - Elsevier
Since standard distributions do not fundamentally have an acceptable fit to all types of data
sets, it is necessary to construct extensions of standard distributions to increase their …

[HTML][HTML] Bayesian and classical inference of univariate maximum Harris extended Rayleigh model with applications

MH Alhelali, BSO Alsaedi - Alexandria Engineering Journal, 2024 - Elsevier
In the literature, modifying the baseline distributions and proposing novel approach of the
existing probability models play an important role in the analysis of real-world phenomena …

[PDF][PDF] The New Extended-X Exponentiated Inverted Weibull Distribution: Statistical Inference and Application to Carbon Data

RA Aldallal, E Hussam - Appl. Math, 2024 - naturalspublishing.com
Developing novel probability distributions holds significant importance in contemporary
society across various domains. In this study, we introduce a distinctive continuous lifespan …