Add to ORKGIn this paper, a new two parameters model is introduced. We called it the inverse flexible Weibull extension (IFW) distribution. Several properties of this distribution have been discussed. The maximum likelihood estimators of the parameters are derived. Two real data sets are analyzed using the new model, which show that the new model fits the data better than some other very well known models
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
The basic Weibull distribution is considered the most fundamental and basic lifetime distribution. V...
This paper introduces the four parameter new generalized inverse Weibull distribution and investigat...
A new two parameter distribution is recently propoesd by El-Gohary et al. [8], called as the inverse...
This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distributi...
A generalized version of four parameter modified inverse weibull distribution (MIWD) is introduced i...
In this paper we introduce a new six-parameters extension of the Weibull distribution. It will be ca...
In this article, a new approach is used to introduce an additional parameter to a continuous class o...
We have proposed a new Inverse Weibull distribution by using the generalized Beta distribution of Mc...
This work proposes an inverse odd Weibull (IOW) family of distributions for a lifetime distributions...
In this paper, a new bivariate exponentiated modified Weibull extension distribution (BEMWE) is intr...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
Abstract: In this study we present the theoretical analysis of Inverse weibull distribution. This pa...
This paper examines the potential usefulness of the transmuted modified inverse Weibull distribution...
This paper introduces the Gompertz flexible Weibull distribution as an extension of the flexible Wei...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
The basic Weibull distribution is considered the most fundamental and basic lifetime distribution. V...
This paper introduces the four parameter new generalized inverse Weibull distribution and investigat...
A new two parameter distribution is recently propoesd by El-Gohary et al. [8], called as the inverse...
This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distributi...
A generalized version of four parameter modified inverse weibull distribution (MIWD) is introduced i...
In this paper we introduce a new six-parameters extension of the Weibull distribution. It will be ca...
In this article, a new approach is used to introduce an additional parameter to a continuous class o...
We have proposed a new Inverse Weibull distribution by using the generalized Beta distribution of Mc...
This work proposes an inverse odd Weibull (IOW) family of distributions for a lifetime distributions...
In this paper, a new bivariate exponentiated modified Weibull extension distribution (BEMWE) is intr...
Providing extended and generalized distribution is usually precious for many statisticians. A new di...
Abstract: In this study we present the theoretical analysis of Inverse weibull distribution. This pa...
This paper examines the potential usefulness of the transmuted modified inverse Weibull distribution...
This paper introduces the Gompertz flexible Weibull distribution as an extension of the flexible Wei...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
The basic Weibull distribution is considered the most fundamental and basic lifetime distribution. V...
This paper introduces the four parameter new generalized inverse Weibull distribution and investigat...