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Sequential spatially balanced sampling
Sequential sampling occurs when an entire population is unknown in advance and data are received one by one or in groups of units. This article proposes a new algorithm to sequentially select a balanced sample. The algorithm respects equal and unequal inclusion probabilities. The method can also be used to select a spatially balanced sample if the population of interest contains spatial coordinates. A simulation study is proposed, and the results show that the proposed method outperforms other methods.
Sequential spatially balanced sampling
Sequential sampling occurs when an entire population is unknown in advance and data are received one by one or in groups of units. This article proposes a new algorithm to sequentially select a balanced sample. The algorithm respects equal and unequal inclusion probabilities. The method can also be used to select a spatially balanced sample if the population of interest contains spatial coordinates. A simulation study is proposed, and the results show that the proposed method outperforms other methods.
Sequential spatially balanced sampling
Jauslin, Raphaël (Autor:in) / Panahbehagh, Bardia (Autor:in) / Tillé, Yves (Autor:in)
Environmetrics ; 33
01.12.2022
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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