ArticleResults in physics2021
A new extended rayleigh distribution with applications of COVID-19 data.
Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Modeling engineering and medical lifetime data using a flexible extension of the XShanker distribution under censoring.Scientific reports · 2026Article
- Article
- A novel extension of the power lindley distribution with statistical properties and application to COVID-19 data.Scientific reports · 2025Article
- Development of a novel extension of Rayleigh distribution with application to COVID-19 data.Scientific reports · 2025Article
- A new two-parameter Rayleigh distribution: Statistical properties, actuarial measures, regression analysis, and applications.Heliyon · 2024Article
- Article
- A novel flexible exponent power-X family of distributions with applications to COVID-19 mortality rate in Mexico and Canada.Scientific reports · 2024Article
- A novel extension of half-logistic distribution with statistical inference, estimation and applications.Scientific reports · 2024Article
- Article
- Modified generalized Weibull distribution: theory and applications.Scientific reports · 2023Article
- Statistical inference with joint progressive censoring for two populations using power Rayleigh lifetime distribution.Scientific reports · 2023Article
- Structure of bivariate Rayleigh proportional hazard rate model with its associated copula applied on COVID-19 data.Quality and reliability engineering international · 2022Article
- Comparative study of artificial neural network versus parametric method in COVID-19 data analysis.Results in physics · 2022Article
- A new versatile modification of the Rayleigh distribution for modeling COVID-19 mortality rates.Results in physics · 2022Article
- Statistical modeling for COVID 19 infected patient's data in Kingdom of Saudi Arabia.PloS one · 2022Article
- The new discrete distribution with application to COVID-19 Data.Results in physics · 2022Article
- Asymmetric Power Hazard Distribution for COVID-19 Mortality Rate under Adaptive Type-II Progressive Censoring: Theory and Inferences.Computational intelligence and neuroscience · 2022Article
- A new lifetime family of distributions: Theoretical developments and analysis of COVID 19 data.Results in physics · 2021Article
- A new modified Kies Fréchet distribution: Applications of mortality rate of Covid-19.Results in physics · 2021Article
- Estimate Stress-Strength Reliability Model Using Rayleigh and Half-Normal Distribution.Computational intelligence and neuroscience · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 lifetime distribution with three-parameter is introduced by a combination of Rayleigh distribution and extended odd Weibull family to produce the extended odd Weibull Rayleigh (EOWR) distribution. This new distribution has many excellent properties as simple linear representation, hazard rate function, and moment generating function. Maximum likelihood, maximum product spacing and Bayesian estimation methods are applied to estimate the unknown parameters of EOWR distribution. MCMC method is used for the Bayesian estimation. A numerical result of the Monte Carlo simulation is obtained to assess the use of estimation methods. Also, data analysis for the real data of mortality rate is considered.
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