Sampling of Multiple Variables Based on Partially Ordered Set Theory
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Publication:5152313
DOI10.52547/JIRSS.20.1.307zbMATH Open1469.62197arXiv1906.11020OpenAlexW3199482697WikidataQ110530148 ScholiaQ110530148MaRDI QIDQ5152313
Author name not available (Why is that?)
Publication date: 17 September 2021
Published in: (Search for Journal in Brave)
Abstract: This paper is going to introduce a new method for ranked set sampling with multiple criteria. The method is based on a version of ranked set sampling, introduced by Panahbehagh et al. (2017), which relaxes the restriction of selecting just one individual variable from each ranked set. Under the new method for ranking, elements are ranked in sets based on linear extensions in partial order sets theory, where based on all the variables simultaneously. Results will be evaluated by some simulations and two real case study on economical, medicinal use of flowers and the pollution of herb-layer by Lead, Cadmium, Zinc and Sulfur in regions in the southwest of Germany.
Full work available at URL: https://arxiv.org/abs/1906.11020
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