Estimation of population proportion using concomitant based ranked set sampling

@article{Abbasi2021EstimationOP,
  title={Estimation of population proportion using concomitant based ranked set sampling},
  author={Azhar Mehmood Abbasi and Muhammad Yousaf Shad},
  journal={Communications in Statistics - Theory and Methods},
  year={2021},
  volume={51},
  pages={2689 - 2709}
}
Abstract This paper considers the concomitant based double ranked set sampling (CDRSS) for estimating the population proportion and compares with existing concomitant based ranked set sampling (CRSS) and simple random sampling (SRS) schemes. Moreover, taking into account information on a single concomitant variable, we also develop ratio-and exponential-type estimators, along with their biases and mean square errors (MSEs) up to first order of approximation, for precisely estimating the… 

Sensitive proportion in ranked set sampling

It is shown that CRSS procedure provides an unbiased estimator of the population sensitive proportion, and it is always more precise than corresponding sample sensitive proportion that based on simple random sampling (SRS) without increasing sampling cost.

References

SHOWING 1-10 OF 41 REFERENCES

Estimating the population proportion in modified ranked set sampling methods

ABSTRACT In this paper, proportion estimators and associated variance estimators are proposed for a binary variable with a concomitant variable based on modified ranked set sampling methods, which

Concomitant‐based rank set sampling proportion estimates

The rank set sampling (RSS) protocol as it pertains to the estimation of a population proportion is discussed, where the concomitant-based RSS estimator is more efficient than the proportion of successes in a simple random sample.

On Estimating a Population Proportion via Ranked Set Sampling

This paper explores the use of the rank set sampling (RSS) protocol as it pertains to the estimation of a population proportion. The maximum likelihood estimator (MLE) and the sample proportion, both

Using ranked set sampling with extreme ranks in estimating the population proportion

It turns out that the proposed estimator is substantially more efficient than its simple random sampling and ranked set sampling analogs, as the true population proportion tends to zero/unity.

Estimation of the population mean and median using truncation-based ranked set samples

In this paper, a new sampling method is suggested, namely truncation-based ranked set samples (TBRSS) for estimating the population mean and median. The suggested method is compared with the simple

Efficient body fat estimation using multistage pair ranked set sampling

Although the suggested mean estimator in multistage pair ranked set sampling is unbiased, and under perfect rankings has variance no larger than its simple random sampling counterpart, the situation may be reversed if cost considerations are taken into account.

Manipulation-based ranked set sampling scheme

Cost-effective and efficient sampling methods are of main concern in many social, biological and environmental studies. In this article, an efficient sampling scheme, named manipulation-based ranked

Paired double-ranked set sampling

Abstract In environmental monitoring and assessment, the main focus is to achieve observational economy and to collect data with unbiased, efficient and cost-effective sampling methods. Ranked set

Estimation of Population Variance from Multi-ranker Ranked Set Sampling Designs

It is shown that the new estimator for a population variance based on a multi-ranker ranked set sampling design performs as good as or better than its competitors in the literature.

Estimators for a Poisson parameter using ranked set sampling

Using ranked set sampling, a viable BLUE estimator is obtained for estimating the mean of a Poisson distribution. Its properties, such as efficiency relative to the ranked set sample mean and to the