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… 
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2 Citations

On partial randomized response model using ranked set sampling

In this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary…

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.

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