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On the Adjustment of Non-Response through Imputation for estimating the Population Mean in Stratified Population
Abstract
We have proposed some imputation methods for estimating the population mean when data are missing in stratified population (under pre - stratification and post stratification). Deriving the bias and Mean Square Error (MSE) equations of the proposed estimators. Also we show that the condition under which Exponential-type compromised imputation is better than sample mean, ratio method, and the estimator in Singh and Horn (2000) in the case of non-response. The MSE and PRE have been obtained with different non-response rates for two data sets.
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