Pseudo Empirical Likelihood Confidence Intervals for Complex Sample Survey Data

摘要

Complex sample survey data are obtained through multistage sampling designs that involve clustering, stratification, and non-responce adjustments. Standard statistical methods such as empirical likelihood are typically not applicable to complex samples because independent, identically distributed observations seldom result from such data. Hence, we derive pseudo empirical likelihood confidence intervals for stratified single-stage and stratified multistage sampling designs. Use of such designs include national health data sets.