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comparison of covid-19 data analysis between classical dependencies and correlations via copulas
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نویسنده
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al-adilee ahmed ,al-asadi hiba abbas
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منبع
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international journal of nonlinear analysis and applications - 2021 - دوره : 12 - شماره : Special Is - صفحه:2257 -2264
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چکیده
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In this paper, we analyze the covid-19 data set in two ways, the first one depends on the calculation of correlation coefficient via classical mathematical representation. and the second way of analysis depends on modern technique which is associated with copula function concepts and its relationship to measures of association. afterwards, we compare the obtained results to decide far which is better in an analysis of the examined dataset.
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کلیدواژه
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statistical inferences ,probability concepts ,correlation coefficients ,copula functions ,data analysis
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آدرس
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university of kufa, faculty of education, department of mathematics, iraq, university of kufa, faculty of education, department of mathematics, iraq
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پست الکترونیکی
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hibaa.alasadi@student.uokufa.edu.iq
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Authors
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