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.
Citation: Qasim Ramzan, Muhammad Amin, Ahmed Elhassanein, Muhammad Ikram. The extended generalized inverted Kumaraswamy Weibull distribution: Properties and applications[J]. AIMS Mathematics, 2021, 6(9): 9955-9980. doi: 10.3934/math.2021579
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.
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Qasim Ramzan, Muhammad Amin, Ahmed Elhassanein, Muhammad Ikram. The extended generalized inverted Kumaraswamy Weibull distribution: Properties and applications[J]. AIMS Mathematics, 2021, 6(9): 9955-9980. doi: 10.3934/math.2021579
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