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.
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An Empirical Study on the Accuracy of Ratio and Regression Estimators in the Presence of Measurement Errors
11. Department of Statistics, Utkal University, Bhubaneswar 751004, India
22. Department of Statistics, Ravenshaw College, Cuttack 753003, India E-mail: scsenapati2002@rediffmail.com
Citation Information: Monte Carlo Methods and Applications mcma. Volume 12, Issue 5, Pages 495–501, ISSN (Online) 1569-3961, ISSN (Print) 0929-9629, DOI: 10.1515/156939606779329026,
Publication History:
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Key Words: Auxiliary variable,; bias,; mean square error,; measurement error,; simple random sampling.
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