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Estimation of population mean in presence of random non response in two-stage cluster sampling

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  • Reba Maji
  • G. N. Singh
  • Arnab Bandyopadhyay

Abstract

The present investigation addresses the problem of estimating a finite population mean in two-phase cluster sampling in presence of random non response situations. Utilizing information on an auxiliary variable, regression type estimators has been proposed. Effective imputation techniques have been suggested to deal with the random non response situations. The properties of the proposed estimation strategies have been studied for different cases of random non response situations in practical surveys. The superiority of the suggested methodology over the natural sample mean estimator of population mean has been established through empirical studies carried over the data sets of natural population and artificially generated population.

Suggested Citation

  • Reba Maji & G. N. Singh & Arnab Bandyopadhyay, 2019. "Estimation of population mean in presence of random non response in two-stage cluster sampling," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(14), pages 3586-3608, July.
    • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:14:p:3586-3608
    DOI: 10.1080/03610926.2018.1478101
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