The Kumaraswamy InverseWeibull distribution has the ability to model failure rates that have unimodal shapes and are quite common in reliability and biological studies. The three-parameter Kumaraswamy InverseWeibull distribution with decreasing and unimodal failure rate is introduced. We provide a comprehensive treatment of the mathematical properties of the Kumaraswany Inverse Weibull distribution and derive expressions for its moment generating function and the ligrl/ig-th generalized moment. Some properties of the model with some graphs of density and hazard function are discussed. We also discuss a Bayesian approach for this distribution and an application was made for a real data set
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
A distribuição Weibull inversa tem a habilidade de modelar funções de risco com forma unimodal que s...
This article deals with the estimation of the parameters and reliability characteristics in inverse ...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
For the first time, we introduce and study some mathematical properties of the Kumaraswamy Weibull d...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
A new family of distributions called Kumaraswamy-generalized power Weibull (Kgpw) distribution is pr...
We introduce the Kumaraswamy alpha power-G (KAP-G) family which extends the alpha power family (Mahd...
In this research, the Bayesian estimators of both the unknown model parameters, survivor (or reliab...
In this article we consider statistical inferences about the unknown parameters of the inverse Weibu...
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical c...
In this paper, the generalized inverse Weibull distribution including the exponentiated or proportio...
A two parameter Weibull distribution is assumed to be the appropriate model of an engineering device...
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
A distribuição Weibull inversa tem a habilidade de modelar funções de risco com forma unimodal que s...
This article deals with the estimation of the parameters and reliability characteristics in inverse ...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
For the first time, we introduce and study some mathematical properties of the Kumaraswamy Weibull d...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
A new family of distributions called Kumaraswamy-generalized power Weibull (Kgpw) distribution is pr...
We introduce the Kumaraswamy alpha power-G (KAP-G) family which extends the alpha power family (Mahd...
In this research, the Bayesian estimators of both the unknown model parameters, survivor (or reliab...
In this article we consider statistical inferences about the unknown parameters of the inverse Weibu...
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical c...
In this paper, the generalized inverse Weibull distribution including the exponentiated or proportio...
A two parameter Weibull distribution is assumed to be the appropriate model of an engineering device...
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
A distribuição Weibull inversa tem a habilidade de modelar funções de risco com forma unimodal que s...
This article deals with the estimation of the parameters and reliability characteristics in inverse ...