Efficient Classes of Estimators of Population Variance in Two-Phase Successive Sampling Under Random Non-Response
DOI:
https://doi.org/10.6092/issn.1973-2201/12686Keywords:
Successive sampling, Auxiliary variable, Random non-response, Variance estimator, Bias, Mean square errorAbstract
This paper presents some efficient classes of estimators of population variance in two-phase successive sampling under random non-response. The suggested classes of estimators are for simple random sampling and for different situations of non-response. Up to first-order approximation MSE’s of suggested classes of estimators are derived. The efficiency of the presented estimators is contrasted with the estimators for the complete response scenarios. Usefulness of the presented classes of estimators is checked. To test the efficiency real data sets are used. The proposed classes of estimators are more efficient. Results are interpreted.
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