2019DergiPark (Istanbul University)Open access

Exponentiated Weibull Weibull Distribution: Statistical Properties and Applications

Mohammed Elgarhy, Amal S. Hassan

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Abstract

We introduce a new five-parameter model related to Weibull distribution, the so called. exponentiated Weibull Weibull (EWW) distribution.   It  incluides some new and earlier distributions. Fundamental properties are deduced. We deal with maximum likelihood (ML) method to obtain parameter estimators. The interest of the recommended distribution is confirmed through real data sets .

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What this paper is about

We introduce a new five-parameter model related to Weibull distribution, the so called. exponentiated Weibull Weibull (EWW) distribution.   It  incluides some new and earlier distributions. Fundamental properties are deduced. We deal with maximum likelihood (ML) method to obtain parameter estimators. The interest of the recommended distribution is confirmed through real data sets .

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Available abstract

We introduce a new five-parameter model related to Weibull distribution, the so called. exponentiated Weibull Weibull (EWW) distribution.   It  incluides some new and earlier distributions. Fundamental properties are deduced. We deal with maximum likelihood (ML) method to obtain parameter estimators. The interest of the recommended distribution is confirmed through real data sets .

Key concepts: Weibull distribution, Exponentiated Weibull distribution, Weibull modulus, Estimator, Weibull fading, Statistics, Mathematics, Shape parameter

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