Add to ORKGIn situations where the sampling units in a study can be more easily ranked based on the measurement of an auxiliary variable, ranked set sampling provides unbiased estimators for the mean of a population that are more efficient than unbiased estimators based on simple random sampling. In this paper, we consider the Morgenstern type bivariate generalized exponential distribution and obtain several unbiased estimators for the mean parameter of its marginal distribution, based on different ranked set sampling schemes. The efficiency of all considered estimators are evaluated and several numerical illustrations are given
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
In this study, an estimator for geometric mean of population in ranked set sampling design is develo...
The use of ranked set sample to estimate the population mean is well known for its advantages over u...
In situations where the sampling units in a study can be more easily ranked based on the measurement...
In this paper we have suggested some improved estimator of parameters of Morgenstern type bivariate ...
Ranked set sampling is applicable whenever ranking of a set of sampling units can be done easily by ...
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized mo...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivari...
In this paper, we obtain several estimators of a scale parameter of Morgenstern type bivariate Rayle...
In this paper maximum ranked set sampling procedure with unequal samples (MRSSU) is proposed. Maximu...
The method of ranked set sampling when units are to be inducted from several bivariate populations i...
In this paper we have suggested some improved estimators of a scale parameter of Morgenstern type bi...
Ranked-set sampling is a widely used sampling procedure when sample observations are expensive or di...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
In this study, an estimator for geometric mean of population in ranked set sampling design is develo...
The use of ranked set sample to estimate the population mean is well known for its advantages over u...
In situations where the sampling units in a study can be more easily ranked based on the measurement...
In this paper we have suggested some improved estimator of parameters of Morgenstern type bivariate ...
Ranked set sampling is applicable whenever ranking of a set of sampling units can be done easily by ...
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized mo...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivari...
In this paper, we obtain several estimators of a scale parameter of Morgenstern type bivariate Rayle...
In this paper maximum ranked set sampling procedure with unequal samples (MRSSU) is proposed. Maximu...
The method of ranked set sampling when units are to be inducted from several bivariate populations i...
In this paper we have suggested some improved estimators of a scale parameter of Morgenstern type bi...
Ranked-set sampling is a widely used sampling procedure when sample observations are expensive or di...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
In this study, an estimator for geometric mean of population in ranked set sampling design is develo...
The use of ranked set sample to estimate the population mean is well known for its advantages over u...