Even Order Ranked Set Sampling with Auxiliary Variable

Authors

Muhammad Tayyab, National College of Business Administration & Economics, Lahore, PakistanFollow
Muhammad Noor ul-Amin, COMSATS University Islamabad-Lahore Campus Lahore, PakistanFollow
Muhammad Hanif, National College of Business Administration & Economics, Lahore, PakistanFollow

Abstract

Even 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.

DOI

10.22237/jmasm/1604189280

Recommended Citation

Tayyab, M., Noor ul-Amin, M., Hanif, M. (2019). Even Order Ranked Set Sampling with Auxiliary Variable. Journal of Modern Applied Statistical Methods, 18(2), eP2751. https://doi.org/10.22237/jmasm/1604189280