An isotonized variance estimator for judgment post stratified data

In this paper, we develop a nonparametric variance estimator for judgment post stratification sampling scheme. The estimator is obtained by using the fact that the distributions of post strata are often stochastically ordered. We prove that our estimator is consistent. Our simulation results indicate that the proposed estimator has good performance in comparison with its leading competitors in the literature.