A Class of Regression Type Estimators in Survey Sampling Cover Image

A Class of Regression Type Estimators in Survey Sampling
A Class of Regression Type Estimators in Survey Sampling

Author(s): Govind Ch. Misra, Subhash K. Yadav, Alok K. Shukla
Subject(s): Economy
Published by: Główny Urząd Statystyczny
Keywords: Auxiliary variable;Mean Squared Error;Ratio estimator;Regression type estimators

Summary/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.

  • Issue Year: 12/2011
  • Issue No: 3
  • Page Range: 579-586
  • Page Count: 8
  • Language: English