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The discrete analogue of the Weibull G family: properties, different applications, Bayesian and non-Bayesian estimation methods
In this work, we propose and study a new discrete analogue of the Weibull class. Many
useful properties such as ordinary moments; moment generating function; cumulant …
useful properties such as ordinary moments; moment generating function; cumulant …
A novel test statistic for right censored validity under a new Chen extension with applications in reliability and medicine
A new modified version of the Bagdonavičius and Nikulin goodness-of-fit statistical test is
presented and investigated for validity under the exponentiated Rayleigh generalized Chen …
presented and investigated for validity under the exponentiated Rayleigh generalized Chen …
[HTML][HTML] Comparative study of artificial neural network versus parametric method in COVID-19 data analysis
Since the previous two years, a new coronavirus (COVID-19) has found a major global
problem. The speedy pathogen over the globe was followed by a shockingly large number …
problem. The speedy pathogen over the globe was followed by a shockingly large number …
A novel G family for single acceptance sampling plan with application in quality and risk decisions
In this paper we present a new G family of probability distributions. Some of its mathematical
properties are derived. Based on a special member of the new family, a single acceptance …
properties are derived. Based on a special member of the new family, a single acceptance …
Modelling the COVID‐19 Mortality Rate with a New Versatile Modification of the Log‐Logistic Distribution
The goal of this paper is to develop an optimal statistical model to analyze COVID‐19 data in
order to model and analyze the COVID‐19 mortality rates in Somalia. Combining the log …
order to model and analyze the COVID‐19 mortality rates in Somalia. Combining the log …
A new compound lomax model: properties, copulas, modeling and risk analysis utilizing the negatively skewed insurance claims data
Analyzing the future values of anticipated claims is essential in order for insurance
companies to avoid major losses caused by prospective future claims. This study proposes a …
companies to avoid major losses caused by prospective future claims. This study proposes a …
A generalization of lomax distribution with properties, copula and real data applications
A new generalization of Lomax distribution is derived and studied. Some of its useful
properties are derived. A simple clayton copula is used to generate many bivariate and …
properties are derived. A simple clayton copula is used to generate many bivariate and …
The Lindley Gompertz model for estimating the survival rates: properties and applications in insurance
HS Mohamed, MM Ali, HM Yousof - Annals of Data Science, 2023 - Springer
This paper introduces a new extension of the Gompertz function for estimating the survival
rates. The actual survival rates from USA life tables 2015 is considered for assessment …
rates. The actual survival rates from USA life tables 2015 is considered for assessment …
[PDF][PDF] A new exponentiated Weibull distribution's extension: copula, mathematical properties and applications
We introduce a new continuous distribution based on the zero truncated Poisson model
which accommodates many important failure rate shapes. Some of its mathematical …
which accommodates many important failure rate shapes. Some of its mathematical …
A novel two-parameter Nadarajah-Haghighi extension: properties, copulas, modeling real data and different estimation methods
W Shehata, H Yousof - Statistics, Optimization & Information Computing, 2022 - iapress.org
A new two-parameter lifetime distribution is proposed and numerically studied. The new
model has a flflexible failure rate shapes such as “monotonically increasing”,“monotonically …
model has a flflexible failure rate shapes such as “monotonically increasing”,“monotonically …