On Admissibility in Bipartite Incidence Graph Sampling

Autor:	García-Segador, Pedro, Zhang, Li-Chun
Rok vydání:	2024
Předmět:	Mathematics - Statistics Theory 62D05
Druh dokumentu:	Working Paper
Popis:	In bipartite incidence graph sampling, the target study units may be formed as connected population elements, which are distinct to the units of sampling and there may exist generally more than one way by which a given study unit can be observed via sampling units. This generalizes finite-population element or multistage sampling, where each element can only be sampled directly or via a single primary sampling unit. We study the admissibility of estimators in bipartite incidence graph sampling and identify other admissible estimators than the classic Horvitz-Thompson estimator. Our admissibility results encompass those for finite-population sampling. Comment: 20 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2409.07970 Zobrazit plný text záznamu View this record from Arxiv