چکیده مقاله
The Spearman rank order correlation coefficient is a non parametric test that examines the strength and direction of the association between two variables that are assessed on an ordinal or continuous scale This test is used to determine whether or not there is a correlation between the two variables If the data distribution is not normal and the connection is not linear, or if ordinal variables are used and Pearson's Correlation cannot be used, then applying Spearman's rank correlation will be a helpful test This test can also be beneficial when ordinal variables are used and Pearson's Correlation cannot be used In addition to this, we provide a numerical example to demonstrate how realistic our suggested formula is
کلیدواژهها
نویسندگان
Zahra Behdani
Department of mathematics and statistics, Behbahan Khatam Alanbia university of technology, Khouzestan, Iran
Majid Darehmiraki
Department of mathematics and statistics, Behbahan Khatam Alanbia university of technology, Khouzestan, Iran
شیوه ارجاع
Behdani, Zahra and Darehmiraki, Majid,1402,A new perspective on the fuzzy Spearman correlation coefficient,5th International Conference on Software Computing,Rudsar
ارائهشده در
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