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Double dipping with balanced sampling
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DOI：10.1016/j.spl.2025.110562.png)
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Abstract
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Doubly balanced samples from spatial populations have approximate balance on auxiliary variables and spread over spatial coordinates. This article shows that doubly balanced sampling is also efficient on non-spatial populations when we balance on auxiliary variables and spread over the space spanned by them. Numerical results on three example applications show that our extension of doubly balanced sampling works well in practice.
Keywords:
Auxiliary variables
Doubly balanced sampling
Well-spread samples
Spatial balance
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