[HTML][HTML] A new extended Rayleigh distribution with applications of COVID-19 data
This paper aims to model the COVID-19 mortality rates in Italy, Mexico, and the Netherlands,
by specifying an optimal statistical model to analyze the mortality rate of COVID-19. A new …
by specifying an optimal statistical model to analyze the mortality rate of COVID-19. A new …
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 …
Unique models for this family are presented in this paper. The statistical aspects of the family …
On odd perks-G class of distributions: properties, regression model, discretization, Bayesian and non-Bayesian estimation, and applications
In this paper, we present a new univariate flexible generator of distributions, namely, the odd
Perks-G class. Some special models in this class are introduced. The quantile function …
Perks-G class. Some special models in this class are introduced. The quantile function …
[HTML][HTML] Statistical modeling for COVID-19 virus spread in Kingdom of Saudi Arabia and Netherlands
The aim of this work is to develop a new outstanding lifetime distribution, dubbed the power
Bilal (PB) distribution. Both of the probability distribution function (pdf) and the cumlative …
Bilal (PB) distribution. Both of the probability distribution function (pdf) and the cumlative …
Applying transformer insulation using Weibull extended distribution based on progressive censoring scheme
In this paper, the Weibull extension distribution parameters are estimated under a
progressive type-II censoring scheme with random removal. The parameters of the model …
progressive type-II censoring scheme with random removal. The parameters of the model …
Exponentiated generalized weibull exponential distribution: properties, estimation and applications
AIL Abonongo, J Abonongo - Computational Journal of …, 2024 - journals.ekb.eg
Real-life sciences rely heavily on statistical modeling because new applications and
phenomena pop up constantly, increasing the demand for new distributions. In this article …
phenomena pop up constantly, increasing the demand for new distributions. In this article …
[PDF][PDF] Inference of fuzzy reliability model for inverse Rayleigh distribution
Inference of fuzzy reliability model for inverse Rayleigh distribution Page 1 AIMS
Mathematics, 6(9): 9770–9785. DOI: 10.3934/math.2021568 Received: 29 March 2021 …
Mathematics, 6(9): 9770–9785. DOI: 10.3934/math.2021568 Received: 29 March 2021 …
Statistical inference to the parameter of the Akshaya distribution under competing risks data with application HIV infection to aids
DA Ramadan, EM Almetwally, AH Tolba - Annals of Data Science, 2023 - Springer
This paper takes into consideration statistical inferences in competing risk models with
Akshaya sub-distributions based on the type-II censoring scheme. It is supposed to be the k …
Akshaya sub-distributions based on the type-II censoring scheme. It is supposed to be the k …
Classical and Bayesian inference for the Kavya–Manoharan generalized exponential distribution under generalized progressively hybrid censored data
This manuscript focuses on the statistical inference of the Kavya–Manoharan generalized
exponential distribution under the generalized type-I progressive hybrid censoring sample …
exponential distribution under the generalized type-I progressive hybrid censoring sample …
Bayes estimation for the Rayleigh–Weibull distribution based on progressive type-II censored samples for cancer data in medicine
N Akdam - Symmetry, 2023 - mdpi.com
The aim of this study is to obtain the Bayes estimators and the maximum likelihood
estimators (MLEs) for the unknown parameters of the Rayleigh–Weibull (RW) distribution …
estimators (MLEs) for the unknown parameters of the Rayleigh–Weibull (RW) distribution …