The extended generalized inverted Kumaraswamy Weibull distribution: Properties and applications

In this paper we introduce a new six-parameters extension of the Weibull distribution. It will be called the extended generalized inverted Kumaraswamy Weibull (EGIKw-Weibull), that is commonly used to model lifetime data. Various useful properties of the new distribution are derived. A Monte Carlo simulation is employed to investigate the maximum likelihood estimator (MLE) for the parameters. Two real applications are presented.

Automated summary

This paper introduces a new six-parameter extension of the Weibull distribution, known as the EGIKw-Weibull, commonly used for modeling lifetime data. Various useful properties of the new distribution are derived and investigated using Monte Carlo simulation to study maximum likelihood estimator (MLE). Two real applications are presented in the paper.