In this study, Neutrosophic Kumaraswamy (NKw) distribution was proposed to analyze bounded data sets under an indeterminacy environment. Mathematical properties of NKw distribution are derived including, moments, mean, variance, Shannon entropy, reliability measures. We also present the graphical representation of density curves, cumulative distribution function, and hazard rate function. The parameters of NKw distribution are estimated using the maximum likelihood technique. We perform a simulation study to see the performance of maximum likelihood estimates. Eventually, the proposed model is applied to real data set. It has been concluded that NKw distribution provides better results than Neutrosophic beta distribution
The identification of an appropriate probability model is always essential in environmental data ana...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...
The Kumaraswamy distribution is one of the most popular probability distributions with applications ...
In this paper we have successfully constructed the literal neutrosophic Kumaraswamy probability dist...
The objective of this article is to create a Neutrosophic Generalized Exponential (NGE) distribution...
In this paper, we develop the new extended Kumaraswamy generated (NEKwG) family of distributions. It...
In this research, some mathematical properties for Kumaraswamy Fréchet distribution was presented, i...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
This research is an extension of classical statistics distribution theory as the theory did not deal...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
In this paper, the exponentiated Kumaraswamy-power function distribution is introduced. Some structu...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
In this paper, we will introduce the new Kumaraswamy-power series class of distributions. This new c...
Copyright © 2014 El-Sayed A. El-Sherpieny, Mohamed A. Ahmed. This is an open access article distribu...
The identification of an appropriate probability model is always essential in environmental data ana...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...
The Kumaraswamy distribution is one of the most popular probability distributions with applications ...
In this paper we have successfully constructed the literal neutrosophic Kumaraswamy probability dist...
The objective of this article is to create a Neutrosophic Generalized Exponential (NGE) distribution...
In this paper, we develop the new extended Kumaraswamy generated (NEKwG) family of distributions. It...
In this research, some mathematical properties for Kumaraswamy Fréchet distribution was presented, i...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
This research is an extension of classical statistics distribution theory as the theory did not deal...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
In this paper, the exponentiated Kumaraswamy-power function distribution is introduced. Some structu...
The Kumaraswamy distribution is the most widely applied statistical distribution in hydrological pro...
In this paper, we will introduce the new Kumaraswamy-power series class of distributions. This new c...
Copyright © 2014 El-Sayed A. El-Sherpieny, Mohamed A. Ahmed. This is an open access article distribu...
The identification of an appropriate probability model is always essential in environmental data ana...
Modeling and analyzing lifetime data is an important aspect of statistical work in various scientifi...
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in ...