Imputation Methods of Missing data for estimating the Population Mean using Simple Random Sampling

Author's Name: Ajeet Kumar Singh, Priyanka Singh and V.K. Singh
Subject Area: Science and Engineering
Subject Statistics
Section Research Paper


Imputation methods, Bias and Mean square error, missing data, relative efficiency.


In this paper we propose three exponential type compromised imputation methods for estimating the population mean based upon an auxiliary variable in simple random sampling when some observations are missing. They are compared with other imputation methods such as mean method, ratio method and compromised method of imputation. Our proposed estimators are better than other above mentioned estimator. To support the discussed results the relative efficiencies of the estimator w.r.t.these estimators have been obtained using empirical data.

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