Weibull distribution and its extended families has been widely studied in lifetime applications. Based on the Weibull-G family of distributions and the exponentiated Weibull distribution, we study in detail two new classes of distributions, namely, Gamma-Weibull-G family of distributions (GWG) and gamma-exponentiated or generalized modified Weibull (GEMW) distribution. Some special models in these new classes are discussed. Statistical properties of these family of distributions, such as expansion of density function, hazard and reverse hazard functions, quantile function, moments, incomplete moments, generating functions, mean deviations, Bonferroni and Lorenz curves and order statistics are presented. For the GEMW, we also present Renyi e...
We propose a new method to generate family of distributions. Then, a family of univariate distributi...
In this thesis, a new class of generalized distributions which includes several new distributions is...
The Weibull family of lifetime distributions play a fundamental role in reliability engineering and ...
Weibull distribution and its extended families has been widely studied in lifetime applications. Bas...
In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GE...
A new five parameter gamma-generalized modified Weibull (GGMW) distribution which includes exponenti...
In this manuscript, we have derived a new lifetime distribution named generalized Weibull–Lindley (G...
In this thesis, a generalized modified Weibull distribution called the exponentiated modified Weibul...
The Weibull distribution is one of the most popular and widely used model for failure time in life-t...
A new lifetime model, which extends the Weibull distribution using the generalized transmuted-G fami...
A four parameter generalization of the Weibull distribution capable of modeling a bathtub-shaped haz...
This paper introduces a new flexible extension of power generalized Weibull distribution which conta...
In this paper, we introduce the exponentiated power generalized Weibull power series (EPGWPS) family...
Abstract We propose a new lifetime model called the exponentiated power generalized Weibull (EPGW) d...
We study a new family of distributions defined by the minimum of the Poissonrandom number of indepen...
We propose a new method to generate family of distributions. Then, a family of univariate distributi...
In this thesis, a new class of generalized distributions which includes several new distributions is...
The Weibull family of lifetime distributions play a fundamental role in reliability engineering and ...
Weibull distribution and its extended families has been widely studied in lifetime applications. Bas...
In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GE...
A new five parameter gamma-generalized modified Weibull (GGMW) distribution which includes exponenti...
In this manuscript, we have derived a new lifetime distribution named generalized Weibull–Lindley (G...
In this thesis, a generalized modified Weibull distribution called the exponentiated modified Weibul...
The Weibull distribution is one of the most popular and widely used model for failure time in life-t...
A new lifetime model, which extends the Weibull distribution using the generalized transmuted-G fami...
A four parameter generalization of the Weibull distribution capable of modeling a bathtub-shaped haz...
This paper introduces a new flexible extension of power generalized Weibull distribution which conta...
In this paper, we introduce the exponentiated power generalized Weibull power series (EPGWPS) family...
Abstract We propose a new lifetime model called the exponentiated power generalized Weibull (EPGW) d...
We study a new family of distributions defined by the minimum of the Poissonrandom number of indepen...
We propose a new method to generate family of distributions. Then, a family of univariate distributi...
In this thesis, a new class of generalized distributions which includes several new distributions is...
The Weibull family of lifetime distributions play a fundamental role in reliability engineering and ...