JOURNAL ARTICLE

On the Exponentiated Weibull Rayleigh Distribution

Mohammed Elgarhy

Year: 2019 Journal:   GAZI UNIVERSITY JOURNAL OF SCIENCE Vol: 32 (3)Pages: 1060-1081

Abstract

A new four-parameter probability model, referred to the exponentiated Weibull Rayleigh (EWR) distribution, is introduced. Essential statistical properties of the distribution are considered. The maximum likelihood estimators of population parameters are given in case of complete sample. Simulation study is carried out to estimate the model parameters of EWR distribution. Additionally, parameter estimators are given in case of Type II censored samples. We come up with two applications to confirm the usefulness of the proposed distribution.

Keywords:
Weibull distribution Rayleigh distribution Mathematics Estimator Statistics Exponentiated Weibull distribution Distribution (mathematics) Maximum likelihood Shape parameter Applied mathematics Probability density function Mathematical analysis

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18
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0.86
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Citation History

Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change

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