The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, gamma-inverse exponential, gammainverse Rayleigh, inverse Rayleigh, gamma-Fr´echet and Fr´echet distributions as special cases is proposed and studied. This new distribution might be useful for failure time data analysis. Some mathematical properties of the new distribution including moments, mean deviations, Bonferroni and Lorenz curves, Shannon and R´enyi entropies are presented. Maximum likelihood estimation technique is used to estimate the parameters and applications to real data sets are given to illustrate the usefulness of this new class of distributions
This work proposes an inverse odd Weibull (IOW) family of distributions for a lifetime distributions...
In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GE...
A new six-parameter distribution called the beta generalized inverse Weibull-geometric distribution ...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical c...
A generalized version of four parameter modified inverse weibull distribution (MIWD) is introduced i...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
Weibull distribution and its extended families has been widely studied in lifetime applications. Bas...
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 new distribution called the gamma-generalized inverse Weibull distribution which includes inverse ...
A novel family of produced distributions, odd inverse power generalized Weibull generated distributi...
The Weibull distribution is one of the most popular and widely used model for failure time in life-t...
A new five parameter gamma-generalized modified Weibull (GGMW) distribution which includes exponenti...
In this thesis, new classes of Weibull and inverse Weibull distributions including the generalized n...
This work proposes an inverse odd Weibull (IOW) family of distributions for a lifetime distributions...
In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GE...
A new six-parameter distribution called the beta generalized inverse Weibull-geometric distribution ...
The gamma-inverse Weibull (GIW) distribution which includes inverse Weibull, inverse exponential, ga...
The inverse Weibull distribution which was first introduced to investigate the decay of mechanical c...
A generalized version of four parameter modified inverse weibull distribution (MIWD) is introduced i...
The inverse Weibull distribution has the ability to model failure rates which are quite common in re...
Weibull distribution and its extended families has been widely studied in lifetime applications. Bas...
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 new distribution called the gamma-generalized inverse Weibull distribution which includes inverse ...
A novel family of produced distributions, odd inverse power generalized Weibull generated distributi...
The Weibull distribution is one of the most popular and widely used model for failure time in life-t...
A new five parameter gamma-generalized modified Weibull (GGMW) distribution which includes exponenti...
In this thesis, new classes of Weibull and inverse Weibull distributions including the generalized n...
This work proposes an inverse odd Weibull (IOW) family of distributions for a lifetime distributions...
In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GE...
A new six-parameter distribution called the beta generalized inverse Weibull-geometric distribution ...
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