جلد 20، شماره 1 - ( 3-1400 )                   جلد 20 شماره 1 صفحات 331-307 | برگشت به فهرست نسخه ها


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Panahbehagh B, Bruggemann R, Salehi M. Sampling of Multiple Variables Based on Partially Ordered Set Theory. JIRSS. 2021; 20 (1) :307-331
URL: http://jirss.irstat.ir/article-1-787-fa.html
Sampling of Multiple Variables Based on Partially Ordered Set Theory. پژوهشنامه انجمن آمار ایران. 1400; 20 (1) :331-307

URL: http://jirss.irstat.ir/article-1-787-fa.html


چکیده:   (646 مشاهده)

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 willbe 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.

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نوع مطالعه: Special Issue, Original Paper | موضوع مقاله: 62Dxx: Sampling theory, sample surveys
دریافت: 1399/9/12 | پذیرش: 1399/11/27 | انتشار: 1400/3/30

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