In this article, we introduce a new generalized family of Esscher transformed Laplace distribution, namely the Kumaraswamy Esscher transformed Laplace distribution. We study the various properties of the distribution including the survival function, hazard rate function, cumulative hazard rate function and reverse hazard rate function. The parameters of the distribution are estimated using the maximum likelihood method of estimation. A real application of this distribution on breaking stress of carbon fibres is also considered. Further, we introduce and study the exponentiated and transmuted exponentiated Kumaraswamy Esscher transformed Laplace distributions
In this thesis, new classes of generalized Lindley distributions called the beta-generalized Lindley...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
This research introduced the new class of distributions, called the transmuted Kumaraswamy (TKw) G f...
In this article, we introduce a new generalized family of Esscher transformed Laplace distribution, ...
A generalized Laplace distribution using the Kumaraswamy distribution is introduced. Different struc...
ABSTRACTThis articles introduces a new lifetime model called the generalized transmuted Kumaraswamy ...
We show that the family of Esscher-transformed Laplace distributions is a subclass of asymmetric Lap...
Truncation arises in many practical situations such as Epidemiology, Material science, Psychology, S...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...
Two new parameters are added to the transmuted Laplace distribution. The proposed model is the gener...
The aim of the present study is to investigate a probability distribution that can be derived from t...
In this paper, we investigate the probabilistic characteristics for the new better than renewal used...
In this paper we introduce the Kumaraswamy exponentiated Chen distribution for modelling a bathtub-s...
For any continuous baseline G distribution [G. M. Cordeiro and M. de Castro, A new family of general...
In this paper, the exponentiated Kumaraswamy-power function distribution is introduced. Some structu...
In this thesis, new classes of generalized Lindley distributions called the beta-generalized Lindley...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
This research introduced the new class of distributions, called the transmuted Kumaraswamy (TKw) G f...
In this article, we introduce a new generalized family of Esscher transformed Laplace distribution, ...
A generalized Laplace distribution using the Kumaraswamy distribution is introduced. Different struc...
ABSTRACTThis articles introduces a new lifetime model called the generalized transmuted Kumaraswamy ...
We show that the family of Esscher-transformed Laplace distributions is a subclass of asymmetric Lap...
Truncation arises in many practical situations such as Epidemiology, Material science, Psychology, S...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...
Two new parameters are added to the transmuted Laplace distribution. The proposed model is the gener...
The aim of the present study is to investigate a probability distribution that can be derived from t...
In this paper, we investigate the probabilistic characteristics for the new better than renewal used...
In this paper we introduce the Kumaraswamy exponentiated Chen distribution for modelling a bathtub-s...
For any continuous baseline G distribution [G. M. Cordeiro and M. de Castro, A new family of general...
In this paper, the exponentiated Kumaraswamy-power function distribution is introduced. Some structu...
In this thesis, new classes of generalized Lindley distributions called the beta-generalized Lindley...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
This research introduced the new class of distributions, called the transmuted Kumaraswamy (TKw) G f...