A Class of Chain Type Estimators for Population Mean using two Auxiliary Variables in the Presence of Non-Response
Narendra Kumar, Ashish Sharma, Udai Pratap
Abstract
Narendra Kumar, Ashish Sharma, Udai Pratap
Abstract
This paper discusses the problem of estimation of population mean in the case of non-response in double sampling. Here we obtained the mean square error and relative bias of the suggested class of estimators. The comparison of the suggested class of estimators to other relevant estimators is also derived. The suggested class of estimators found to be more efficient as compare to another estimators obtained by applying suitable values of some constant. An empirical study is also carried out to show the performance of the suggested estimators.
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This paper discusses the problem of estimation of population mean in the case of non-response in double sampling. Here we obtained the mean square error and relative bias of the suggested class of estimators. The comparison of the suggested class of estimators to other relevant estimators is also derived. The suggested class of estimators found to be more efficient as compare to another estimators obtained by applying suitable values of some constant. An empirical study is also carried out to show the performance of the suggested estimators.
Key concepts: Estimator, Population mean, Extremum estimator, Mathematics, Statistics, Class (philosophy), Mean squared error, Constant (computer programming)