文章基本信息

标题：Resampling under Complex Sampling Designs: Roots, Development and the Way Forward
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作者：Pier Luigi Conti ; Fulvia Mecatti
期刊名称：Stats
电子版ISSN：2571-905X
出版年度：2022
卷号：5
期号：1
页码：258-269
DOI：10.3390/stats5010016
语种：English
出版社：MDPI AG
摘要：In the present paper, resampling for finite populations under an iid sampling design is reviewed. Our attention is mainly focused on pseudo-population-based resampling due to its properties. A principled appraisal of the main theoretical foundations and results is given and discussed, together with important computational aspects. Finally, a discussion on open problems and research perspectives is provided.