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.Peer Reviewe
In this paper maximum ranked set sampling procedure with unequal samples (MRSSU) is proposed. Maximu...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
The best linear unbiased estimator (BLUE) for the population mean under moving extreme ranked set sa...
In situations where the sampling units in a study can be more easily ranked based on the measurement...
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivari...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized mo...
This paper is concerned with ranked set sampling theory which is useful to estimate the population m...
In this article, the procedure of bivariate extreme ranked set sampling (BVERSS) is introduced and i...
Ranked set sampling is applicable whenever ranking of a set of sampling units can be done easily by ...
Auxiliary information is used along with ranking information to derive several classes of estimators...
This paper investigates estimating the association parameter of Morgenstern type bivariate distribut...
Ranked-set sampling is a widely used sampling procedure when sample observations are expensive or di...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
The method of ranked set sampling when units are to be inducted from several bivariate populations i...
In this paper maximum ranked set sampling procedure with unequal samples (MRSSU) is proposed. Maximu...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
The best linear unbiased estimator (BLUE) for the population mean under moving extreme ranked set sa...
In situations where the sampling units in a study can be more easily ranked based on the measurement...
This paper develops estimating parameters for Morgenstern type bivariatedistribution by using bivari...
The concept of ranked set sampling (RSS) was first introduce by McIntyre (1952) as a process of impr...
In this paper, we consider three sampling methods that are ranked set sampling (RSS), generalized mo...
This paper is concerned with ranked set sampling theory which is useful to estimate the population m...
In this article, the procedure of bivariate extreme ranked set sampling (BVERSS) is introduced and i...
Ranked set sampling is applicable whenever ranking of a set of sampling units can be done easily by ...
Auxiliary information is used along with ranking information to derive several classes of estimators...
This paper investigates estimating the association parameter of Morgenstern type bivariate distribut...
Ranked-set sampling is a widely used sampling procedure when sample observations are expensive or di...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
The method of ranked set sampling when units are to be inducted from several bivariate populations i...
In this paper maximum ranked set sampling procedure with unequal samples (MRSSU) is proposed. Maximu...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
The best linear unbiased estimator (BLUE) for the population mean under moving extreme ranked set sa...
