Small Area Estimation models with outliers in covariates
نویسندگان
چکیده
The objective of small area estimation (SAE) methods is to use survey data for estimating some characteristics, such as means, totals, quantiles of items of interest, in areas or domains where the sample size is not large enough to obtain reliable direct estimates. In the last years SAE methods have received a growing interest, since their use in the formulation of new policies and programs, poverty mapping and measurement of well-being indicators at detailed geographical level highly rely on these methods ([1]).
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تاریخ انتشار 2015