AbstractBecause of their flexibility, recently, much attention has been given to the study of generalized distributions. A complete study of the beta generalized logistic distribution (type IV) is proposed, introducing an approximate form for the median and deducing the mean deviation from the mean and the median. A complete parameter estimation using the method of maximum likelihood and the method of moments is presented. Some characteristic properties of the generalized logistic distribution type I are discussed. Also, a highlight to some properties of an analog distribution to the generalized logistic distribution type IV, discussed by Zografos and Balakrishnan [1], is presented
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
The generalized beta distribution of the second kind (GB2), McDonald [11], McDonald and Xu [12] is a...
In this report, we work with parameter estimation of the log-logistic distribution. We first conside...
AbstractBecause of their flexibility, recently, much attention has been given to the study of genera...
Because of their flexibility, recently, much attention has been given to the study of generalized di...
We consider a form of generalized logistic distribution which is called extended type I generalized ...
A new generalization of the logistic distribution is defined and studied, namely, the gamma-logistic...
Some distributional properties of the generalized type 1 logistic distribution are given. Based on t...
A three parameter (location, scale, shape) generalization of the logistic distribution is fitted to ...
In this paper, we derive, the probability density function (pdf) and cumulative distribution functio...
A generalization of the Half Logistic Distribution is developed through exponentiation of its surviv...
A generalization of the half logistic distribution is developed through exponentiation of its cumula...
The proposal of new continuous distributions by adding one or more shape parameter(s) to baseline mo...
A new distribution called the gamma exponentiated Lindley Log-logistic (GELLLoG) distribution is dev...
This paper proposes a three-parameter statistical model of income distribution by exploiting recent ...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
The generalized beta distribution of the second kind (GB2), McDonald [11], McDonald and Xu [12] is a...
In this report, we work with parameter estimation of the log-logistic distribution. We first conside...
AbstractBecause of their flexibility, recently, much attention has been given to the study of genera...
Because of their flexibility, recently, much attention has been given to the study of generalized di...
We consider a form of generalized logistic distribution which is called extended type I generalized ...
A new generalization of the logistic distribution is defined and studied, namely, the gamma-logistic...
Some distributional properties of the generalized type 1 logistic distribution are given. Based on t...
A three parameter (location, scale, shape) generalization of the logistic distribution is fitted to ...
In this paper, we derive, the probability density function (pdf) and cumulative distribution functio...
A generalization of the Half Logistic Distribution is developed through exponentiation of its surviv...
A generalization of the half logistic distribution is developed through exponentiation of its cumula...
The proposal of new continuous distributions by adding one or more shape parameter(s) to baseline mo...
A new distribution called the gamma exponentiated Lindley Log-logistic (GELLLoG) distribution is dev...
This paper proposes a three-parameter statistical model of income distribution by exploiting recent ...
We give an introduction to the logistic and generalized logistic distributions. These generalized lo...
The generalized beta distribution of the second kind (GB2), McDonald [11], McDonald and Xu [12] is a...
In this report, we work with parameter estimation of the log-logistic distribution. We first conside...