Exponentiated Weibull Weibull Distribution: Statistical Properties and Applications
Mohammed Elgarhy, Amal S. Hassan
Abstract
Mohammed Elgarhy, Amal S. Hassan
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 .
OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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