An Empirical Study on the Accuracy of Ratio and Regression Estimators in the Presence of Measurement Errors

Sahoo L.N., Sahoo R.K. and Senapati S.C.
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Sahoo L.N.: 1. Department of Statistics, Utkal University, Bhubaneswar 751004, India
Sahoo R.K.: 1. Department of Statistics, Utkal University, Bhubaneswar 751004, India
Senapati S.C.: 2. Department of Statistics, Ravenshaw College, Cuttack 753003, India E-mail: scsenapati2002@rediffmail.com

Monte Carlo Methods and Applications, 2006, vol. 12, issue 5, 495-501

Abstract: When the survey data are equipped with measurement errors, the essential properties of the estimates are adversely affected. In this paper, we undertake a small-scale simulation study to examine the magnitude of imprecision introduced in the ratio and regression methods of estimation if the auxiliary variable is contaminated with measurement errors.

Keywords: Auxiliary variable; bias; mean square error; measurement error; simple random sampling. (search for similar items in EconPapers)
Date: 2006
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DOI: 10.1515/156939606779329026

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