In this paper we address the problem of estimation of the variance of a normal population based on a balanced as well as an unbalanced ranked set sample (RSS), which is a modification of the original RSS of McIntyre (1952). We have proposed several methods of estimation of variance by combining different unbiased between and within estimators, and compared their performances.link_to_subscribed_fulltex
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
AbstractThe closed-form maximum likelihood estimators (MLEs) of population mean and variance under r...
The present article discusses the issue of population mean estimation in the ranked set sampling fra...
We develop an unbiased estimator of the variance of a population based on a ranked set sample. We sh...
In this paper, a sampling scheme named ‘mixture ranked set sampling’ (MIRSS) for estimation of the p...
SUMMARY. When the experimental or sampling units in a study can be more easily ranked than quantifie...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
The ranked set sampling (RSS) method as suggested by McIntyre (1952) may be modified to come up with...
In this paper a new sampling procedure for estimating the population mean is introduced. The perform...
Ranked set sampling (RSS) utilizes inexpensive auxiliary information about the ranking of the units ...
Varied set size approach of ranked set sampling (VSRSS) is introduced for mean and ratio estimation ...
In this paper, we propose and evaluate the performance of different parametric and nonparametric est...
Many variations of ranked set sampling methods have been studied for estimating the population mean....
The use of ranked set sample to estimate the population mean is well known for its advantages over u...
In this paper, we propose a double robust truncation based ranked set sampling (DRTBRSS) for estimat...
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
AbstractThe closed-form maximum likelihood estimators (MLEs) of population mean and variance under r...
The present article discusses the issue of population mean estimation in the ranked set sampling fra...
We develop an unbiased estimator of the variance of a population based on a ranked set sample. We sh...
In this paper, a sampling scheme named ‘mixture ranked set sampling’ (MIRSS) for estimation of the p...
SUMMARY. When the experimental or sampling units in a study can be more easily ranked than quantifie...
In the situation where the sampling units in a study can be easily ranked than quantified, the ranke...
The ranked set sampling (RSS) method as suggested by McIntyre (1952) may be modified to come up with...
In this paper a new sampling procedure for estimating the population mean is introduced. The perform...
Ranked set sampling (RSS) utilizes inexpensive auxiliary information about the ranking of the units ...
Varied set size approach of ranked set sampling (VSRSS) is introduced for mean and ratio estimation ...
In this paper, we propose and evaluate the performance of different parametric and nonparametric est...
Many variations of ranked set sampling methods have been studied for estimating the population mean....
The use of ranked set sample to estimate the population mean is well known for its advantages over u...
In this paper, we propose a double robust truncation based ranked set sampling (DRTBRSS) for estimat...
McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked s...
AbstractThe closed-form maximum likelihood estimators (MLEs) of population mean and variance under r...
The present article discusses the issue of population mean estimation in the ranked set sampling fra...