Estimation of Mean Using Auxiliary Information and Post-Stratification
This article presents the problem of estimating the population mean based on post-stratified sampling and auxiliary information. Classes of combined and separate estimators are suggested and their properties are studied under large sample approximation. Asymptotically optimum estimators (AOEs) in the classes are identified alongwith their approximate variance formulae. Regions of preference are investigated in which the proposed classes of estimators are better than usual unbiased estimator , combined and separate post-stratified sampling ratio and product estimators. A comparison between class of combined and separate estimators are made. An empirical study is carried out in the support of the present study.