This paper derives the entropy of a generalized half-logistic distribution based on Type-II censored samples, obtains some entropy estimators by using Bayes estimators of an unknown parameter in the generalized half-logistic distribution based on Type-II censored samples and compares these estimators in terms of the mean squared error and the bias through Monte Carlo simulations
In this study, a new four parameter distribution called the Lehmann type II generalized half logisti...
Chandrasekar et al. (2004) introduced a generalized Type-II hybrid censoring. In this paper, we prop...
In this paper, under generalized type-I hybrid censored samples; we derive the estimators for the en...
In this paper, we derive maximum likelihood estimators (MLEs) and approximate maximum likelihood est...
A generalization of the half logistic distribution is developed through exponentiation of its cumula...
Generalized distributions have become widely used in applications recently. They are very flexible i...
In this paper we develop approximate Bayes estimators of the parameters,reliability, and hazard rate...
A generalization of the Half Logistic Distribution is developed through exponentiation of its surviv...
A new class of statistical distributions called the Type II half-Logistic odd Fréchet-G class is pro...
In this paper, we derive the maximum likelihood estimator(MLE) and some approximate maximum like-lih...
A new family of distributions called the type II half logistic is introduced and studied. Four new...
In this paper we develop approximate Bayes estimators of the two parameters logistic distribution. L...
In this paper, we propose two new methods to perform goodness-of-fit tests on the log-logistic distr...
In recent years, information entropy has been studied and developed rapidly across disciplines as a ...
The point and interval estimations for the unknown parameters of an exponentiated half-logistic dist...
In this study, a new four parameter distribution called the Lehmann type II generalized half logisti...
Chandrasekar et al. (2004) introduced a generalized Type-II hybrid censoring. In this paper, we prop...
In this paper, under generalized type-I hybrid censored samples; we derive the estimators for the en...
In this paper, we derive maximum likelihood estimators (MLEs) and approximate maximum likelihood est...
A generalization of the half logistic distribution is developed through exponentiation of its cumula...
Generalized distributions have become widely used in applications recently. They are very flexible i...
In this paper we develop approximate Bayes estimators of the parameters,reliability, and hazard rate...
A generalization of the Half Logistic Distribution is developed through exponentiation of its surviv...
A new class of statistical distributions called the Type II half-Logistic odd Fréchet-G class is pro...
In this paper, we derive the maximum likelihood estimator(MLE) and some approximate maximum like-lih...
A new family of distributions called the type II half logistic is introduced and studied. Four new...
In this paper we develop approximate Bayes estimators of the two parameters logistic distribution. L...
In this paper, we propose two new methods to perform goodness-of-fit tests on the log-logistic distr...
In recent years, information entropy has been studied and developed rapidly across disciplines as a ...
The point and interval estimations for the unknown parameters of an exponentiated half-logistic dist...
In this study, a new four parameter distribution called the Lehmann type II generalized half logisti...
Chandrasekar et al. (2004) introduced a generalized Type-II hybrid censoring. In this paper, we prop...
In this paper, under generalized type-I hybrid censored samples; we derive the estimators for the en...