The Geometry of Path Coefficients and Correlations
Copyright policy )The Geometry of Path Coefficients and Correlations
AbstractIn the present paper, a generalized cosine formula is obtained for the difference between two angles in a k‐dimensional Euclidean space, which is utilized to derive one of the principles of path analysis, namely, the correlation between two random variables is the sum of all connecting paths between them.
- University of Pittsburgh United States
Measures of association (correlation, canonical correlation, etc.), Linear regression; mixed models, path coefficients, correlations, Euclidean space, path analysis, multiple correlation, generalized cosine formula, Applications of statistics to biology and medical sciences; meta analysis
Measures of association (correlation, canonical correlation, etc.), Linear regression; mixed models, path coefficients, correlations, Euclidean space, path analysis, multiple correlation, generalized cosine formula, Applications of statistics to biology and medical sciences; meta analysis
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