Robust estimation in finite population sampling
Statistics Theory
2008-12-18 v1 Statistics Theory
Abstract
The paper proposes some robust estimators of the finite population mean. Such estimators are particularly suitable in the presence of some outlying observations. Included as special cases of our general result are robust versions of the ratio estimator and the Horvitz-Thompson estimator. The robust estimators are derived on the basis of certain predictive influence functions.
Cite
@article{arxiv.0805.2268,
title = {Robust estimation in finite population sampling},
author = {Malay Ghosh},
journal= {arXiv preprint arXiv:0805.2268},
year = {2008}
}
Comments
Published in at http://dx.doi.org/10.1214/193940307000000086 the IMS Collections (http://www.imstat.org/publications/imscollections.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)