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Estimation of Population Variance Under an Imputation Method in Two-Phase Sampling

  • A. K. Sharma
  • A. K. Singh
Research Article
  • 36 Downloads

Abstract

In this paper, an attempt has been made to reduce the negative effect of random non-response in the estimation procedure of population variance in two-phase sampling. A difference-type imputation method has been considered to reduce the wrong impact of random non-response in the two-phase sampling. To build efficient estimation strategies, information on two auxiliary characters has been used in the estimation of population variance and describes the effectiveness of the proposed estimators; dominant performances of the suggested estimators are compared with the well-known estimators of the population variance under the complete response. Results are explained through empirical studies which are followed by suitable recommendations.

Keywords

Two-phase Imputation Random non-response Variance estimation Auxiliary variable Bias Mean square error 

Mathematics Subject Classification

62D05 

Notes

Acknowledgements

The authors are grateful to National Institute of Technology Raipur, Chhattisgarh, and Sri Venkateswara College, University of Delhi, for providing the financial assistance and necessary infrastructure to carry out the present work.

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Copyright information

© The National Academy of Sciences, India 2019

Authors and Affiliations

  1. 1.Department of MathematicsNIT- RaipurRaipurIndia
  2. 2.Department of Statistics, Sri Venkateswara CollegeUniversity of DelhiNew DelhiIndia

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