Sampling of Multiple Variables Based on Partially Ordered Set Theory
| Author | Panahbehagh, Bardia |
| Author | Bruggemann, Rainer |
| Author | Salehi, Mohammad |
| Available date | 2023-10-02T05:16:12Z |
| Publication Date | 2021 |
| Publication Name | Journal of the Iranian Statistical Society |
| Resource | Scopus |
| ISSN | 17264057 |
| Abstract | We introduce a new method for ranked set sampling with multiple criteria. The method relaxes the restriction of selecting just one individual variable from each ranked set. Under the new method for ranking, units are ranked in sets based on linear extensions in partially order set theory with considering all variables simultaneously. Results will be evaluated by a relatively extensive simulation studies on Bivariate normal distribution and two real case studies on commercial and medicinal use of flowers, and the pollution of herb-layer by Lead, Cadmium, Zinc and Sulfur in some regions of the southwest of Germany. |
| Sponsor | The authors would like to thank the editor and anonymous reviewers for their valuable comments and suggestions |
| Language | en |
| Publisher | Iranian Statistical Society |
| Subject | Environmental Pollution Linear Extension Medicinal Use of Flowers Multiple Variables Ranked Set Sampling Partially Order Set Theory |
| Type | Article |
| Pagination | 307-331 |
| Issue Number | 1 |
| Volume Number | 20 |
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Mathematics, Statistics & Physics [714 items ]