Add to ORKGA generalized version of four parameter modified inverse weibull distribution (MIWD) is introduced in this paper. This distribution generalizes the following distributions: (1) Modified Inverse exponential distribution, (2) Modified Inverse Rayleigh distribution, (3) Inverse weibull distribution. We provide a comprehensive description of the mathematical properties of the modified inverse weibull distribution along with its reliability behaviour. We derive the moments, moment generating function and examine the order statistics. We propose the method of maximum likelihood for estimating the model parameters and obtain the observed information matrix
A four parameter generalization of the Weibull distribution capable of modeling a bathtub-shaped haz...
This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distributi...
A new two parameter distribution is recently propoesd by El-Gohary et al. [8], called as the inverse...
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
This paper introduces the four parameter new generalized inverse Weibull distribution and investigat...
A five parameter generalization of the generalized Inverse Weibull distribution, called the transmut...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
This paper examines the potential usefulness of the transmuted modified inverse Weibull distribution...
A generalized version of four parameters transmuted modified Weibull distribution (TMWD) is introduc...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
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...
<p>A generalization of the generalized inverse Weibull distribution the so-called transmuted general...
This paper introduces the transmuted new generalized inverse Weibull distribution by using the quadr...
A four parameter generalization of the Weibull distribution capable of modeling a bathtub-shaped haz...
This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distributi...
A new two parameter distribution is recently propoesd by El-Gohary et al. [8], called as the inverse...
A generalized version of the three-parameter transmuted inverse Weibull distribution is introduced i...
This paper introduces the four parameter new generalized inverse Weibull distribution and investigat...
A five parameter generalization of the generalized Inverse Weibull distribution, called the transmut...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
This paper examines the potential usefulness of the transmuted modified inverse Weibull distribution...
A generalized version of four parameters transmuted modified Weibull distribution (TMWD) is introduc...
In this thesis, the generalized inverseWeibull distribution including the proportional reverse hazar...
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...
<p>A generalization of the generalized inverse Weibull distribution the so-called transmuted general...
This paper introduces the transmuted new generalized inverse Weibull distribution by using the quadr...
A four parameter generalization of the Weibull distribution capable of modeling a bathtub-shaped haz...
This paper proposes the new three-parameter type I half-logistic inverse Weibull (TIHLIW) distributi...
A new two parameter distribution is recently propoesd by El-Gohary et al. [8], called as the inverse...