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Model-based study of families of exponential-type estimators in presence of non response

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  • Ajeet Kumar Singh
  • Priyanka Singh
  • V. K. Singh

Abstract

Among other types of non sampling errors, non response error (NRE) is an inherent component of any sample survey, which is supposed to be given much attention during the designing and execution stages. With increasing awareness of these estimators, therefore, there is an urge for the development of suitable techniques for controlling them.This article proposes two families of estimators for population mean in the presence of non response and discuses various properties under model approach, namely polynomial regression model. The families include some existing estimators. Comparison of efficiencies along with the robustness of the estimators under misspecification of models has been empirically discussed.

Suggested Citation

  • Ajeet Kumar Singh & Priyanka Singh & V. K. Singh, 2017. "Model-based study of families of exponential-type estimators in presence of non response," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(13), pages 6478-6490, July.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:13:p:6478-6490
    DOI: 10.1080/03610926.2015.1129417
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