New ratio estimators to estimated population mean under stratified sampling with missing data
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Abstract
The ratio estimator is commonly used to estimate the population mean of study variables. When knowing the information of the auxiliary variable which had a positive correlation with the study variable. The estimators proposed by the researcher were considered under the condition that the study variable in each stratum is non-response by unit non-response and missing completely at a random mechanism. The researcher used relative root mean square error to compare the efficiency of the proposed estimators. The results showed that the new ratio estimator is more efficient than the list wise deletion ratio estimator because the new ratio estimator is weighted by the probability of response then this estimator is an almost unbiased estimator.
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