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Efficient Class of Variance Estimators for Population using Supplementary Information in Stratified Random Sampling
This paper addresses an efficient class of variance estimators for population using stratified random sampling. The suggested class of estimators using supplementary information has been studied in different circumstances. The expressions of bias and mean square error (MSE) of the proposed estimators are derived up to the first degree of …