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Estimation of Mean with Imputation of Missing data using Exponential-Type Estimators |
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PP: 71-80 |
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doi:10.18576/jsapl/090202
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Author(s) |
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Ajeet Kumar Singh,
Priyanka Singh,
V. K. Singh,
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Abstract |
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| There are several methods of handling missing data in sample surveys, which is a typical problem of non- response. Imputation method is one of the methods to deal with non-response. In this paper suggests a one-parameter family of estimators, popularly known as Exponential-Type Estimator (ETE), use as a tool of imputation for dealing with non-responding units and discuss its properties. The proposed strategy has been observed to be more precise than other method of imputation such as mean, ratio and compromised method of imputation under optimality conditions. To support the discussed results, a numerical illustration has been performed on data set.
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