Variance estimation in ranked set sampling using a concomitant variable

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. © 2015 Elsevier B.V.