Abstract
Kumar (J Stat Theory Pract 10(4):707–720, 2016) introduced an estimator for mean in the presence of non-response and measurement error. However, the mean square error (MSE) and the minimum MSE expressions presented in that paper need some corrections and simulation results need to be examined in the light of this correction. Simulations results show that with the corrected MSE expression, the Kumar estimator performs better than some of existing estimators, which could not be claimed with the original MSE expressions.
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References
Azeem M (2014) On estimation of population mean in the presence of measurement error and non-response. Unpublished Ph.D. thesis, National College of Business Administration and Economics, Lahore, India
Azeem M, Hanif M (2017) Joint influence of measurement error and non response on estimation of population mean. Commun Stat Theory Methods 46(4):1679–1693
Cochran WG (1977) Sampling techniques, 3rd edn. Wiley, New York
Hanen MH, Hurwitz WN (1946) The problem of non-response in sample surveys. J Am Stat Assoc 41:517–529
Kumar S (2016) Improved estimation of population mean in presence of non-response and measurement error. J Stat Theory Pract 10(4):707–720
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Sabir, S., Sanaullah, A. A Note on Kumar (2016): Improved Estimation of Population Mean in the Presence of Measurement Error and Non-response. J Stat Theory Pract 13, 25 (2019). https://doi.org/10.1007/s42519-018-0025-4
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DOI: https://doi.org/10.1007/s42519-018-0025-4