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Estimating distribution functions from survey data Export

by: R. L. Chambers, R. Dunstan
Biometrika, Vol. 73, No. 3. (1 December 1986), pp. 597-604.

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A simple method for estimating population distribution functions and associated quantiles from sample survey data is described and some asymptotic theory for it presented. The method assumes a model-based approach to survey estimation and allows auxiliary population information to be directly incorporated into the estimation process. Monte Carlo results comparing the proposed method with conventional design-based methods are given. These suggest that the model-based approach offers significant gains when the auxiliary population information is linearly related to the survey variables of interest. 10.1093/biomet/73.3.597


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