A class of regression type estimators in survey sampling

Govind Charan  Misra; Subhash Kumar  Yadav; Alok Kumar  Shukla

Govind Charan Misra Dept of Statistics, D.A-V College, Kanpur, India , Subhash Kumar Yadav Dept of Mathematics & Statistics, Dr R M L Avadh University, Faizabad, India , Alok Kumar Shukla Dept of Statistics, D.A-V College, Kanpur, India Statistics in Transition new series, vol. 12, 2011, 3, pages: 579-586 Published online: 1 December 2011

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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.

KEYWORDS

Auxiliary variable, Mean Squared Error, Ratio estimator, Regression type estimators

REFERENCES

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