Sequential Spatially Balanced Sampling
Methodology
2023-01-04 v2
Abstract
Sequential sampling occurs when the entire population is not known in advance and data are obtained one at a time or in groups of units. This manuscript 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.
Cite
@article{arxiv.2112.01164,
title = {Sequential Spatially Balanced Sampling},
author = {Raphaël Jauslin and Bardia Panahbehagh and Yves Tillé},
journal= {arXiv preprint arXiv:2112.01164},
year = {2023}
}