Add to ORKGStratified percentile ranked set sampling (SPRSS) method is sug-gested for estimating the population mean. The SPRSS is compared with the simple random sampling (SRS), stratified simple random sampling (SSRS) and stratified ranked set sampling (SRSS). It is shown that SPRSS estimator is an unbiased estimator of the popu-lation mean of symmetric distributions and is more efficient than its counterparts using SRS, SSRS and SRSS based on the same number of measured units
This article is intended to investigate the performance of two types of stratified regression estima...
Cost-effective and efficient sampling methods are of main concern in many social, biological and env...
Ranked set sampling is a desirable sampling technique where the ranking of the sample observations d...
Stratified double median ranked set sampling (SDMRSS) method is suggested for estimating the populat...
Stratified double extreme ranked set sampling (SDERSS) method is introduced and considered for estim...
Abstract: In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estim...
Stratified Diagonal Ranked Set Sampling (SDRSS) was compared with Stratified Simple Random Sampling ...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
Many variations of ranked set sampling methods have been studied for estimating the population mean....
This paper proposes a sampling procedure called selected ranked set sampling (SRSS), in which only s...
We investigate the relative performance of stratified bivariate ranked set sampling (SBVRSS), with r...
Two types of stratified regression estimators for the population mean, the separate and the combined...
In this paper a new sampling procedure for estimating the population mean is introduced. The perform...
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
In this paper, a sampling scheme named ‘mixture ranked set sampling’ (MIRSS) for estimation of the p...
This article is intended to investigate the performance of two types of stratified regression estima...
Cost-effective and efficient sampling methods are of main concern in many social, biological and env...
Ranked set sampling is a desirable sampling technique where the ranking of the sample observations d...
Stratified double median ranked set sampling (SDMRSS) method is suggested for estimating the populat...
Stratified double extreme ranked set sampling (SDERSS) method is introduced and considered for estim...
Abstract: In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estim...
Stratified Diagonal Ranked Set Sampling (SDRSS) was compared with Stratified Simple Random Sampling ...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
Many variations of ranked set sampling methods have been studied for estimating the population mean....
This paper proposes a sampling procedure called selected ranked set sampling (SRSS), in which only s...
We investigate the relative performance of stratified bivariate ranked set sampling (SBVRSS), with r...
Two types of stratified regression estimators for the population mean, the separate and the combined...
In this paper a new sampling procedure for estimating the population mean is introduced. The perform...
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
In this paper, a sampling scheme named ‘mixture ranked set sampling’ (MIRSS) for estimation of the p...
This article is intended to investigate the performance of two types of stratified regression estima...
Cost-effective and efficient sampling methods are of main concern in many social, biological and env...
Ranked set sampling is a desirable sampling technique where the ranking of the sample observations d...