Spatially-balanced adaptive web sampling |
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Authors: | Email author" target="_blank">Emilia?RoccoEmail author |
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Institution: | 1.Department of Statistics, Informatics, Applications “G. Parenti” (DISIA),University of Florence,Florence,Italy |
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Abstract: | The paper deals with sampling from a finite population that is distributed over space and has a highly uneven spatial distribution. It suggests a sampling design that allocates a portion of the sample units that are well spread over the population and sequentially selects the remaining units in sub-areas that appear to be of more interest according to the study variable values observed during the survey. In order to estimate the population mean while using this sampling design, a computationally intense estimator, obtained via the Rao–Blackwell approach, is proposed and a resampling method is used that makes the inference computationally feasible. The whole sampling strategy is evaluated through several Monte Carlo experiments. |
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