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A General Class of Estimators in the Presence of Non-response and Measurement Error |
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PP: 13-33 |
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doi:10.18576/jsapl/100102
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Author(s) |
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Kuldeep Kumar Tiwari,
Sandeep Bhougal,
Sunil Kumar,
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Abstract |
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| The presence of non-response and measurement error in a study cause bias on the estimate. To reduce this, we have studied the effect of non-response (NR) and measurement error (ME) on the estimation of the population mean of the study variable using auxiliary information by proposing a general class of estimators. The proposed class of estimators studied in the various situations of NR and ME. The expressions of bias and MSE of the estimators are derived and their optimum conditions have been obtained. Various well-known estimators from literature are the members of the proposed estimator. A simulation study is performed which support the theoretical findings in all situations.
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