We propose a nonparametric variance estimator when ranked set sampling (RSS) and judgment post stratification (JPS) are applied by measuring a concomitant variable. Our proposed estimator is obtained by conditioning on observed concomitant values and using nonparametric kernel regression.

McIntyre (1952) proposed a cost-effective survey sampling method that is currently known as ranked set sampling (RSS) in the literature. In this method a fairly large number of randomly identified sampling units are partitioned into small subsets of the same size. The units of each subset are ranked separately with respect to the characteristic of interest without obtaining their actual measure...

An efficient method such as ranked set sampling is used for estimating the population parameters when actual observation measurement expensive and complicated. In this paper, we consider problem of two-parameter xgamma (TPXG) distribution under well simple random design. Various estimation methods, including weighted least-square estimator, maximum likelihood estimators, Cramer–von Mises, produ...

Recently, a generalized ranked set sampling (RSS) scheme has been introduced which encompasses several existing RSS schemes, namely varied L (VLRSS), and it provides more precise estimators of the population mean than with traditional simple random (SRS) schemes. In this paper, we extend work consider maximum likelihood (MLEs) location scale parameters when from location-scale family distributi...

Consider the MLEs (maximum likelihood estimators) of the parameters of the Gumbel distribution using SRS (simple random sample) and RSS (ranked set sample) and the MOMEs (method of moment estimators) and REGs (regression estimators) based on SRS. A comparison between these estimators using bias and MSE (mean square error) was performed using simulation. It appears that the MLE based on RSS can ...

Ranked set sampling permits to use anciliary information to rank the units. The drawing of them using the ranks is at least equivalent to random sampling. In this paper this method is applied for deriving estimators of the difference.

In this study, hypothesis test is investigated based on Bootstrap sample selection methods to compare more than two population means under Ranked Set Sampling. are obtained by adapting Hui’s for confidence interval. We also these adapted with bootstrap simple random sampling and ranked set using simulation study. Simulation study shows that which proposed in paper perform quite well.

Nonparametric (distribution-free) control charts have been introduced in recent years when quality characteristics do not follow a specific distribution. When the sample selection is prohibitively expensive, we prefer ranked-set sampling over simple random because ranked set sampling-based outperform charts. In this study, proposed nonparametric homogeneously weighted moving average based on Wi...