A Comparative Study on Calibration Approach Based Estimators for Domain Estimation Utilizing Power Function: Revisited

Ashutosh (), Piyush Kant Rai () and Ajeet Kumar Singh ()
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Ashutosh: MGKVP
Piyush Kant Rai: Banaras Hindu University
Ajeet Kumar Singh: University of Rajasthan

Annals of Data Science, 2023, vol. 10, issue 6, No 7, 1559-1569

Abstract: Abstract The calibration approach based estimators of the domain mean have growing demand during past couple of decades. Estimation of domains is another challenging task for surveyors and several efforts have been made to produce the reliable estimators for this purpose. Prominently the power function based estimators in the sample surveys are having dual advantages for the selection and their application to produce an improved estimation at any stage in the terms of efficiency without much complexity. In the domain estimation utilization of the power function in the development of calibration based estimators are also very promising and provide considerable results. A simulation study has examined for the comparison of several calibration estimators along with the proposed estimator in terms of the absolute relative bias and simulated relative standard error.

Keywords: Domain estimation; Direct indirect methods of estimation; Absolute relative bias; Simulated relative standard error; Calibration approach; 62D05 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s40745-021-00365-6

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