ฉันรักการแปลIn statistics, Spearman

ฉันรักการแปล
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter
ho (rho) or as r_s, is a nonparametric measure of statistical dependence between two variables. It assesses how well the relationship between two variables can be described using a monotonic function. If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other.

Spearman's coefficient, like any correlation calculation, is appropriate for both continuous and discrete variables, including ordinal variables.[1][2] Spearman's
ho and Kendall's au can be formulated as special cases of a more a general correlation coefficient.

ผลลัพธ์ (อังกฤษ) 1:

I love the translation.In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter
ho (rho) or as r_s, is a nonparametric measure of statistical dependence between two variables. It assesses how well the relationship between two variables can be described using a monotonic function. If there are no repeated data values, a perfect Spearman correlation of +1 or −1 occurs when each of the variables is a perfect monotone function of the other.Spearman's coefficient, like any correlation calculation, is appropriate for both continuous and discrete variables, including ordinal variables.[1][2] Spearman's
ho and Kendall's au can be formulated as special cases of a more a general correlation coefficient.

ผลลัพธ์ (อังกฤษ) 2:

I love translating
In statistics, Spearman's rank correlation coefficient or Spearman's rho, named after Charles Spearman and often denoted by the Greek letter rho (rho) or as r_s, is a nonparametric measure of statistical dependence between two variables. It assesses how well. The Relationship between Two variables Can be described using a monotonic function. If there are no repeated Data values, a Spearman correlation of +1 or -1 occurs Perfect When each of The Perfect Monotone variables is a function of The Other. Spearman's coefficient, like. any correlation calculation, is appropriate for both continuous and discrete variables, including ordinal variables. [1] [2] Spearman's rho and Kendall's tau can be formulated as special cases of a more a general correlation coefficient.

ผลลัพธ์ (อังกฤษ) 3:

I love translation
In statistics Spearman ', s rank correlation coefficient or Spearman' s Rho named after, Charles Spearman and. Often denoted by the Greek letter. Rho (rho), or as r_s is a nonparametric measure of statistical dependence between two. Variables. It assesses how well the relationship between two variables can be described using a monotonic function.If there are no repeated, data values a perfect Spearman correlation of 1 or − 1 occurs when each of the variables is a. Perfect monotone function of the other.

Spearman 's coefficient like any, correlation calculation is appropriate, for both. Continuous and discrete variables including ordinal, variables.[] [] Spearman 1 2 's. Rho and Kendall' s. Tau can be formulated as special cases of a more a general correlation coefficient.