Variance Estimation in Ranked Set Sampling Using a Concomitant Variable
arXiv:1506.06502 · doi:10.1016/j.spl.2015.04.034
Abstract
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.