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A class of regression type estimators in survey sampling

Author

Listed:
  • Subhash K. Yadav
  • Alok K. Shukla
  • Govind Ch. Misra

Abstract

A class of linear regression models has been proposed for the estimation of population mean and total when information regarding auxiliary variate is available in survey sampling using regression method of estimation by introducing a new auxiliary variable z, which may also be a function of the auxiliary variable x. The proposed model leads to reduction in mean squared error as compared to ordinary regression method of estimation. The improvement has been demonstrated over ordinary regression estimator and also on ratio estimator with the help of an empirical example.

Suggested Citation

  • Subhash K. Yadav & Alok K. Shukla & Govind Ch. Misra, 2011. "A class of regression type estimators in survey sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 12(3), pages 579-586, December.
    • Handle: RePEc:csb:stintr:v:12:y:2011:i:3:p:579-586
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