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Sampling of Multiple Variables Based on Partially Ordered Set Theory
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نویسنده
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panahbehagh bardia ,bruggemann rainer ,salehi mohammad
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منبع
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journal of the iranian statistical society - 2021 - دوره : 20 - شماره : 1 - صفحه:307 -331
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چکیده
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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.
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کلیدواژه
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Environmental Pollution ,Linear Extension ,Medicinal Use of Flowers ,Multiple Variables Ranked Set Sampling ,Partially Order Set ,Theory
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آدرس
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kharazmi university, faculty of mathematical sciences and computer, department of mathematics, Iran, leibniz-institute of freshwater ecology and inland fisheries, Germany, qatar university, department of mathematics, statistics and physics, Qatar
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پست الکترونیکی
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salehi@qu.edu.qa
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Authors
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