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Monte Carlo Methods and Applications

Managing Editor: Sabelfeld, Karl K.

Editorial Board: Binder, Kurt / Bouleau, Nicolas / Chorin, Alexandre J. / Dimov, Ivan / Dubus, Alain / Egorov, Alexander D. / Ermakov, Sergei M. / Halton, John H. / Heinrich, Stefan / Kalos, Malvin H. / Lepingle, D. / Makarov, Roman / Mascagni, Michael / Mathe, Peter / Niederreiter, Harald / Platen, Eckhard / Sawford, Brian R. / Schmid, Wolfgang Ch. / Schoenmakers, John / Simonov, Nikolai A. / Sobol, Ilya M. / Spanier, Jerry / Talay, Denis

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CiteScore 2016: 0.70

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Volume 12, Issue 5 (Nov 2006)


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

L.N. Sahoo / R.K. Sahoo / S.C. Senapati

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.

Key Words: Auxiliary variable,; bias,; mean square error,; measurement error,; simple random sampling.

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Published Online:

Published in Print: 2006-11-01

Citation Information: Monte Carlo Methods and Applications mcma, ISSN (Online) 1569-3961, ISSN (Print) 0929-9629, DOI: https://doi.org/10.1515/156939606779329026.

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