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On Estimating Distribution Functions and Quantiles from Survey Data Using Auxiliary Information

by: J. N. K. Rao, J. G. Kovar, H. J. Mantel
Biometrika, Vol. 77, No. 2. (1990), pp. 365-375.

X Abstract

Ratio and difference estimators of a population distribution function under a general sampling design are obtained, using auxiliary population information. The relative mean errors and relative mean square errors of these estimators and a model-based estimator of Chambers & Dunstan (1986) are compared through a simulation study. The advantages of the design-based estimators over the model-based estimator under model misspecifications, especially for large samples, are demonstrated. Ratio and difference estimators of a population quantile are also studied.

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This article has been bookmarked 3 times, initially on 2007-09-06.

2007-09-06 User ctacmo
Group Statistics_and_Social_Science
Group Biostatistics
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