Some imputation methods to compensate with non-response for estimation of population mean in two-occasion successive sampling

Abstract

Non-response is an unavoidable phenomenon in almost all sample survey, and if it is not dealt carefully at the very starting of the analysis, results may lead to significant biases in the survey estimates. Keeping these facts in mind and inspired by the work of Singh (2009), this article suggests some alternative efficient methods to deal with the missing data problems at the beginning of the analysis and proposes estimation procedures of the current population mean in two-occasion successive sampling. The properties of the resultant estimation procedures have been examined and supplemented with empirical studies. Results have been critically analyzed, and recommendations are made to the survey practitioners.

Keywords:

• Imputation methods
• successive sampling
• auxiliary variable
• bias
• mean square error
• optimum replacement policy

Mathematics subject classification:

• 62D05

Acknowledgements

Authors are grateful to the referees for some helpful comments and suggestions for bringing the original manuscript in the present form. Authors are also thankful to the Indian Institute of Technology (Indian School of Mines), Dhanbad, for providing financial and necessary infrastructural support to carry out the present research work.