Add to ORKGEven order ranked set sampling (EORSS) is a novel proposed ranked set sampling scheme connected with an auxiliary variable correlated with the study variable. This scheme quantifies only the one sampling unit which is at even position from each ranking set by employing specific criteria. The performance of the ratio estimator under EORSS is compared to its contemporary estimators in simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and quartile ranked set sampling (QRSS) exploiting the same number of quantified units. The simulation results proved that EORSS is an efficient alternative sampling scheme for ratio estimation than SRS, RSS, MRSS and QRSS
AbstractQuartile ranked set sampling (QRSS) method is suggested by Muttlak (2003) for estimating the...
Abstract: In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estim...
In this paper, modified ratio estimators of the population mean of the variable of interest are sugg...
Auxiliary information is used along with ranking information to derive several classes of estimators...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked ...
In many studies, the measurement of sampling units according to the response variable is costly or t...
www.idescat.net/sort A family of ratio estimators for population mean in extreme ranked set sampling...
Stratified extreme ranked set sample (SERSS) is introduced. The performance of the combined and sepa...
In environmental and many other areas, the main focus of survey is to measureelements using an effic...
This paper is concerned with ranked set sampling theory which is useful to estimate the population m...
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
In this article, the procedure of bivariate extreme ranked set sampling (BVERSS) is introduced and i...
The main focus of many agricultural, ecological and environmental studies is to develop well designe...
Cost-effective and efficient sampling methods are of main concern in many social, biological and env...
Double median ranked set sample (DMRSS) and its properties for estimating the population mean, when ...
AbstractQuartile ranked set sampling (QRSS) method is suggested by Muttlak (2003) for estimating the...
Abstract: In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estim...
In this paper, modified ratio estimators of the population mean of the variable of interest are sugg...
Auxiliary information is used along with ranking information to derive several classes of estimators...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked ...
In many studies, the measurement of sampling units according to the response variable is costly or t...
www.idescat.net/sort A family of ratio estimators for population mean in extreme ranked set sampling...
Stratified extreme ranked set sample (SERSS) is introduced. The performance of the combined and sepa...
In environmental and many other areas, the main focus of survey is to measureelements using an effic...
This paper is concerned with ranked set sampling theory which is useful to estimate the population m...
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
In this article, the procedure of bivariate extreme ranked set sampling (BVERSS) is introduced and i...
The main focus of many agricultural, ecological and environmental studies is to develop well designe...
Cost-effective and efficient sampling methods are of main concern in many social, biological and env...
Double median ranked set sample (DMRSS) and its properties for estimating the population mean, when ...
AbstractQuartile ranked set sampling (QRSS) method is suggested by Muttlak (2003) for estimating the...
Abstract: In this paper, percentile double ranked set sampling (PDRSS) method is suggested for estim...
In this paper, modified ratio estimators of the population mean of the variable of interest are sugg...