Spatial sampling methods modified by model use
Tomasz Bąk
Recent years have seen an intensive development in the field of spatial sampling methods, which generally focus on a balanced distribution of the sample in space. Adaptive sampling methods constitute another dynamic direction in the sampling theory. The issue raised in this article involves the combination of these directions. Five of the commonly known spatial sampling methods have been analysed. The experiment was designed to include statistical model in the sampling procedure. As in the case of adaptive methods, it serves to modify drawing probabilities during sampling. The necessary theory of this sampling modification has been developed and presented. An experiment using artificial data was conducted in order to analyse the efficiency of the model modification in comparison with the primary methods.
Year of publication: |
2021
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Authors: | Bąk, Tomasz |
Published in: |
Statistics in transition : an international journal of the Polish Statistical Association. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 22.2021, 2, p. 143-154
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Subject: | spatial sampling | drawn-by-drawn sampling | kriging | employees distribution | Stichprobenerhebung | Sampling | Regionalökonomik | Regional economics | Theorie | Theory | Räumliche Interaktion | Spatial interaction | Räumliche Verteilung | Spatial distribution |
Saved in:
freely available
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.21307/stattrans-2021-020 [DOI] hdl:10419/236832 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012582527
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