Ratio Type Estimators Of The Population Mean Based On Ranked Set Sampling
Zenodo (CERN European Organization for Nuclear Research)2009Vol. 3(11), pp. 896–900
Citations Over Time
Abstract
Ranked set sampling (RSS) was first suggested to increase the efficiency of the population mean. It has been shown that this method is highly beneficial to the estimation based on simple random sampling (SRS). There has been considerable development and many modifications were done on this method. When a concomitant variable is available, ratio estimation based on ranked set sampling was proposed. This ratio estimator is more efficient than that based on SRS. In this paper some ratio type estimators of the population mean based on RSS are suggested. These estimators are found to be more efficient than the estimators of similar form using simple random sample.
Related Papers
- → Ratio estimators of the population mean with missing values using ranked set sampling(2014)40 cited
- → Ratio estimation of the population mean using auxiliary information in simple random sampling and median ranked set sampling(2012)77 cited
- Modified ratio estimators using stratified ranked set sampling(2014)
- → Estimation of the Distribution Function Using Moving Extreme Ranked Set Sampling (MERSS)(2019)4 cited
- → Ratio estimation of population mean based on truncated ranked set sampling(2017)1 cited