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Estimation of Population Mean using Imputation Techniques in Sample Survey

B.K. Singh, Upasana Gogoi

Abstract



In the present paper, we have proposed three generalized classes of exponential dual to ratio type compromised imputation techniques in single phase sampling scheme and its properties have been studied. Their mean square error expressions are compared with the sample mean, ratio, and compromised method of imputation in the case of missing data and necessary conditions are derived. Further, theoretical results have been verified through empirical studies with the help of some natural population data sets to compare their efficiencies for different non-response rate.

Keywords


Imputation methods, Bias, Mean Square error, Missing data, Exponential Dual to ratio, Non-response, Simple Random Sampling, Efficiency.

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