Using Judgment Post Stratification in Two Stage Cluster Sampling

Abstract

The judgment post stratification is a method of stratification of observation by using a key variable, such that stratification will be done after selecting the sample. In this paper, this method will use in two stage cluster sampling. In other words, instead of simple random sampling without replacement, we use the judgment post stratification method and the generalized judgment post stratification method in second stage of two stage cluster sampling, and obtain new estimators of the population mean. Finally, the proposed estimators are compared to usual two stage cluster simple random sampling estimator of the population mean by Monte Carlo simulation studies on a set of real data and generated data from symmetric and asymmetric distributions. The results of simulation study show that, in most cases, the proposed estimators have better performance than the mean of two stage cluster simple random sample../files/site1/files/72/17Abstract.pdf

Keywords

• judgment post stratification method
• ranked set sampling
• two stage cluster sampling.