In this paper, the problem of estimation of R = P(Y < X) based on ranked set sampling, when (X,Y) follows generalised Pareto distribution (GPD) is considered. The maximum likelihood (ML) estimators and Bayes estimators of R are obtained. A Monte Carlo simulation is also performed to study the behaviour of different estimators
This paper deals with making inferences regarding system reliability R = P(X < Y) when the distribut...
The generalized Pareto distribution (GPD) is a flexible parametric model commonly used in financial ...
Ranked set sampling (RSS) is an efficient method for estimating parameters when exact measurement of...
In this paper, we provide Bayesian estimation for the parameters of the Pareto distribution based on...
In this paper, we have considered that ranked set sampling is able to estimate the parameters of exp...
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ra...
The method of maximum likelihood estimation based on ranked set sampling (RSS) and some of its modif...
In this paper, we obtain the MLEs of parameters for the generalized Pareto distribution (GPD) based ...
In this paper, the derivation of the likelihood function for parameter estimation based on double ra...
Ranked set sampling is applicable whenever ranking of a set of sampling units can be done easily by ...
The generalized Pareto distribution was introduced by Pickands (1975). Three methods of estimating t...
This article is directed at the problem of reliability estimation using ranked set sampling. A nonpa...
In this paper, we have considered the generalized Pareto distribution. Various structural properties...
In this paper, first we consider the maximum likelihood estimators for two unknown parameters, relia...
Abstract. In this article, we will study the linear estimation of the scale parameter of the general...
This paper deals with making inferences regarding system reliability R = P(X < Y) when the distribut...
The generalized Pareto distribution (GPD) is a flexible parametric model commonly used in financial ...
Ranked set sampling (RSS) is an efficient method for estimating parameters when exact measurement of...
In this paper, we provide Bayesian estimation for the parameters of the Pareto distribution based on...
In this paper, we have considered that ranked set sampling is able to estimate the parameters of exp...
This paper studies estimation of the parameters of the generalized Gompertz distribution based on ra...
The method of maximum likelihood estimation based on ranked set sampling (RSS) and some of its modif...
In this paper, we obtain the MLEs of parameters for the generalized Pareto distribution (GPD) based ...
In this paper, the derivation of the likelihood function for parameter estimation based on double ra...
Ranked set sampling is applicable whenever ranking of a set of sampling units can be done easily by ...
The generalized Pareto distribution was introduced by Pickands (1975). Three methods of estimating t...
This article is directed at the problem of reliability estimation using ranked set sampling. A nonpa...
In this paper, we have considered the generalized Pareto distribution. Various structural properties...
In this paper, first we consider the maximum likelihood estimators for two unknown parameters, relia...
Abstract. In this article, we will study the linear estimation of the scale parameter of the general...
This paper deals with making inferences regarding system reliability R = P(X < Y) when the distribut...
The generalized Pareto distribution (GPD) is a flexible parametric model commonly used in financial ...
Ranked set sampling (RSS) is an efficient method for estimating parameters when exact measurement of...