Results 11 to 20 of about 3,085 (210)
Extension Odd Generalized Rayleigh Inverse Rayleigh Distribution: Structure and Properties
Ibn Al-Haitham Journal for Pure and Applied SciencesThe Extension Odd Generalized Rayleigh Inverse Rayleigh (EOGRIR) distribution is a novel statistical model that leverages existing distribution families in a flexible manner. This model enhances the ability of standard distributions to analyze data.
Ali Talib Mohammed +2 more
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A new approach of generalized Rayleigh distribution with analysis of asymmetric data sets
Alexandria Engineering JournalDefining a probability model suitable for analyzing intricate and skewed real datasets holds significant importance in statistics. Here In this study, a novel class of models using the maximum of independent identical generalized Rayleigh random ...
Ibrahim Alkhairy
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Entropy, 2014 In this paper, based on a doubly generalized Type II censored sample, the maximum likelihood estimators (MLEs), the approximate MLE and the Bayes estimator for the entropy of the Rayleigh distribution are derived.
Youngseuk Cho, Hokeun Sun, Kyeongjun Lee
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A New Generalization of the Generalized Inverse Rayleigh Distribution with Applications [PDF]
Symmetry, 2021 In this article, a new four-parameter lifetime model called the beta generalized inverse Rayleigh distribution (BGIRD) is defined and studied. Mixture representation of this model is derived. Curve’s behavior of probability density function, reliability function, and hazard function are studied.
Rana Ali Bakoban +1 more
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A new versatile modification of the Rayleigh distribution for modeling COVID-19 mortality rates
Results 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
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A mixture Weibull-Rayleigh distribution and its application [PDF]
Songklanakarin 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
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STATISTICAL INFERENCE FOR GEOMETRIC PROCESS WITH THE GENERALIZED RAYLEIGH DISTRIBUTION [PDF]
Facta Universitatis, Series: Mathematics and Informatics, 2021 In the present paper, statistical inference problem is considered for the geometric process (GP) by assuming the distribution of the first arrival time is generalized Rayleigh with the parameters $\alpha$ and $\lambda$. We use the maximum likelihood method for obtaining the ratio parameter of the GP and distributional parameters of the generalized ...
Biçer, Cenker +3 more
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A new generalized rayleigh distribution with analysis to big data of an online community
Alexandria 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
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Poisson generalized Rayleigh distribution with properties and application [PDF]
International 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
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The Rayleigh Birnbaum Saunders Distribution: A General Fading Model [PDF]
Symmetry, 2020 A new compound non-symmetric distribution for modeling arbitrary fading-shadowing wireless channels is introduced and studied here. This distribution has some advantages in front of other well-known non-symmetric fading distributions such as the Rayleigh–lognormal distribution and the K distribution especially in the tails.
Emilio Gómez-Déniz, Luis Gómez 0001
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