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Statistical Inference for Alpha-Series Process with the Generalized Rayleigh Distribution [PDF]

open access: yesEntropy, 2019
In the modeling of successive arrival times with a monotone trend, the alpha-series process provides quite successful results. Both selecting the distribution of the first arrival time and making an optimal statistical inference play a crucial role in ...
Hayrinisa Demirci Biçer
doaj   +5 more sources

Neutrosophic Generalized Rayleigh Distribution with Application [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
In this paper, we consider the neutrosophic generalized Rayleigh distribution (NGRD). Various neutrosophic properties of NGRD are developed and discussed. The developed distribution is specifically more useful to model indeterminate data which are skewed
Mina Norouzirad   +2 more
doaj   +2 more sources

Generalized Fiducial Inference for the Generalized Rayleigh Distribution

open access: yesModelling, 2023
This article focuses on the interval estimation of the generalized Rayleigh distribution with scale and shape parameters. The generalized fiducial method is used to construct the fiducial point estimators as well as the fiducial confidence intervals, and
Xuan Zhu, Weizhong Tian, Chengliang Tian
doaj   +2 more sources

The Bivariate Generalized Rayleigh Distribution

open access: yesJournal of Mathematical Sciences and Modelling, 2019
This paper introduces a new bivariate distribution named the bivariate generalized Rayleigh distribution (BVGR). The proposed distribution is of type of Marshall-Olkin (MO) distribution.
Ammar Sarhan
doaj   +3 more sources

Truncated Inverse Generalized Rayleigh Distribution and Some Properties

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2023
Truncated distributions arise naturally in many practical situations. It’s a conditional distribution that develops when the parent distribution's domain is constrained to a smaller area.
Bayda atiya Kalaf   +2 more
doaj   +2 more sources

Topp-Leone generalized Rayleigh distribution and its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2018
A new three-parameter lifetime distribution called the Topp-Leone generalized Rayleigh (TLGR) distribution obtained by the Topp-Leone generator based on the generalized Rayleigh (GR) distribution is proposed.
Pimwarat Nanthaprut   +2 more
doaj   +2 more sources

A mixture Weibull-Rayleigh distribution and its application [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2022
In this paper, we introduced a mixture Weibull-Rayleigh (MWR) distribution, which was generated by the twocomponent mixture distribution, i.e., Weibull-Rayleigh and length-biased Weibull-Rayleigh distributions.
Tanachot Chaito   +4 more
doaj   +1 more source

A new versatile modification of the Rayleigh distribution for modeling COVID-19 mortality rates

open access: yesResults in Physics, 2022
The aim of this paper is to specify a new flexible statistical model to analyze COVID-19 mortality rates in Italy and Canada. A new versatile lifetime distribution with four parameters is proposed by using the exponentiated generalized class of ...
Mutua Kilai   +4 more
doaj   +1 more source

Poisson generalized Rayleigh distribution with properties and application [PDF]

open access: yesInternational Journal of Statistics and Applied Mathematics, 2021
In this study, we have established a new three-parameter Poisson generalized Rayleigh distribution using the Poisson-Generating family of distribution. Some important mathematical and statistical properties of the proposed distribution including probability density function, cumulative distribution function, reliability function, hazard rate function ...
Ramesh Kumar Joshi, Vijay Kumar
openaire   +1 more source

A new generalized rayleigh distribution with analysis to big data of an online community

open access: yesAlexandria Engineering Journal, 2022
Big data is a collection of complex and large volumes of data that is not easily handled by the traditional process. The top ten big data science communities include Kaggle, IBM data community, Reddit, open data science, data science central, data ...
Zhongjie Shen   +5 more
doaj   +1 more source

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