Add to ORKGA generalized method of defining and interpreting correlation coefficients is given. Seven correlation coefficients are defined — three for continuous data and four on the ranks of the data. A quick calculation of the rank based correlation coefficients using a 0-1 graph-matrix is shown. Examples and comparisons are given
The Pearson correlation coefficient (r) is usually the first measure of association taught...
The word correlation in general indicates that two quantities are related and somehow linked togethe...
This paper presents a rank correlation curve. The traditional correlation coefficient is valid for b...
A generalized method of defining and interpreting correlation coefficients is given. Seven correlati...
A measure of correlation or strength of association between random variables is the correlation coef...
Correlation coefficients are generally viewed as summaries, causing them to be underutilized. Creati...
The Kendall (1955) rank correlation coefficient evaluates the degree of similarity between two sets ...
The correlation coefficient Correlation coefficients are used to measure the strength of the relatio...
The purpose of this paper is to introduce researchers to correlation coefficient calculation. The Pe...
Spearman’s rank correlation coefficient might be the best known nonparametric measure of association...
The aim of this thesis is to give a proper description of the correlation coeffient and its usage. T...
Correlation is a statistical technique that can show whether and how strongly pairs of variables are...
This article takes correlation coefficients as the starting point to obtain inferential results in l...
In this article, a nonparametric correlation coefficient is defined that is based on the principle o...
The correlation coefficient Correlation coefficients are used to measure the strength of the relatio...
The Pearson correlation coefficient (r) is usually the first measure of association taught...
The word correlation in general indicates that two quantities are related and somehow linked togethe...
This paper presents a rank correlation curve. The traditional correlation coefficient is valid for b...
A generalized method of defining and interpreting correlation coefficients is given. Seven correlati...
A measure of correlation or strength of association between random variables is the correlation coef...
Correlation coefficients are generally viewed as summaries, causing them to be underutilized. Creati...
The Kendall (1955) rank correlation coefficient evaluates the degree of similarity between two sets ...
The correlation coefficient Correlation coefficients are used to measure the strength of the relatio...
The purpose of this paper is to introduce researchers to correlation coefficient calculation. The Pe...
Spearman’s rank correlation coefficient might be the best known nonparametric measure of association...
The aim of this thesis is to give a proper description of the correlation coeffient and its usage. T...
Correlation is a statistical technique that can show whether and how strongly pairs of variables are...
This article takes correlation coefficients as the starting point to obtain inferential results in l...
In this article, a nonparametric correlation coefficient is defined that is based on the principle o...
The correlation coefficient Correlation coefficients are used to measure the strength of the relatio...
The Pearson correlation coefficient (r) is usually the first measure of association taught...
The word correlation in general indicates that two quantities are related and somehow linked togethe...
This paper presents a rank correlation curve. The traditional correlation coefficient is valid for b...