Add to ORKGAn EM algorithm for estimation of parameters of bivariate generalised exponential distribution unde
The EM algorithm is not a single algorithm, but a framework for the design of iterative likelihood m...
The complete-data likelihood function of generalized exponential distribution for truncated and cens...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...
Abstract: In this paper, we estimate the parameters using the EM algorithm of the bivariate exponent...
Recently it has been observed that the generalized exponential distribution can be used quite effect...
AbstractRecently it has been observed that the generalized exponential distribution can be used quit...
Maximum likelihood estimators, EM algorithm, Fisher information matrix, Asymptotic distribution, Opt...
In this paper we consider the Marshall-Olkin bivariate Weibull distribution. The Marshall-Olkin biva...
Bayesian estimation, Bayesian prediction, Generalized exponential distribution, Gibbs and Metropolis...
The MLE of geometric distribution are studied by ML method and EM algorithm under a particular rando...
This paper discusses the EM algorithm. This algorithm is used, for example, to calculate maximum lik...
The two most popular censoring schemes are type-I and type-II censoring schemes. Hybrid censoring sc...
unrestricted use, distribution, and reproduction in any medium, provided the original work is proper...
This paper deals with the dependent left censoring scheme when the survival time variable and censor...
In this paper, we study the statistical inference of the generalized inverted exponential distributi...
The EM algorithm is not a single algorithm, but a framework for the design of iterative likelihood m...
The complete-data likelihood function of generalized exponential distribution for truncated and cens...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...
Abstract: In this paper, we estimate the parameters using the EM algorithm of the bivariate exponent...
Recently it has been observed that the generalized exponential distribution can be used quite effect...
AbstractRecently it has been observed that the generalized exponential distribution can be used quit...
Maximum likelihood estimators, EM algorithm, Fisher information matrix, Asymptotic distribution, Opt...
In this paper we consider the Marshall-Olkin bivariate Weibull distribution. The Marshall-Olkin biva...
Bayesian estimation, Bayesian prediction, Generalized exponential distribution, Gibbs and Metropolis...
The MLE of geometric distribution are studied by ML method and EM algorithm under a particular rando...
This paper discusses the EM algorithm. This algorithm is used, for example, to calculate maximum lik...
The two most popular censoring schemes are type-I and type-II censoring schemes. Hybrid censoring sc...
unrestricted use, distribution, and reproduction in any medium, provided the original work is proper...
This paper deals with the dependent left censoring scheme when the survival time variable and censor...
In this paper, we study the statistical inference of the generalized inverted exponential distributi...
The EM algorithm is not a single algorithm, but a framework for the design of iterative likelihood m...
The complete-data likelihood function of generalized exponential distribution for truncated and cens...
The Burr Type XII distribution is one of the systems of continuous distributions and is widely known...