Drezner, Zvi "Multirelation -- A Correlation among More Than Two Variables." Computational Statistics & Data Analysis 19:3, 283-292 (Fall 1995).Drezner, Z. (1995). Multirelation - a correlation among more than two variables. Computational Statistics & Data Analysis 19, 19, 283-292. doi:...
Although, due to possible influences of nonlinear effects, our results may still be problematic, considering traditional Cross-Correlation Analysis is still the main analytical method in various fields, our study still improves our ability in analyzing cross-correlations among multi-variables on ...
Understanding the evolution of multiple ornaments requires knowledge of correlations among ornaments in the same individual. We explored the potential relationships between the following five song measures. We measured song duration and note rate as performance-related traits; and average note types, ...
Read More:How to Make Correlation Graph in Excel Multiple Correlation in Excel: Correlation Among More Than Two Variables Find multiple correlations: One between the Sales of Makeup Sets per Month and Free Complimentary Makeovers per Month. The other between the Extra Profit per Month and the ...
coefficient of correlation,correlation coefficient,correlation- a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation); "what is the correlation between those two variables?" ...
Correlation coefficient is a non-dimensional index for measuring the linearity between two variables.On the basis of studying correlation coefficients matrix and its relation to the linearity among multiple variables,this paper proposed a definition of multivariable correlation coefficient,which is a non-...
Selection of variables in multiple regression analysis is a troublesome task. There is a method of variable selection which is based on a criterion for searching the best regression equation. In this paper we consider a correlation analysis of multivariate data by use of a linked vector pattern,...
To handle the situations where there are intrinsic correlations among multiple labels, in this paper, we propose a generative model, Labeled Four-Level Pachinko Allocation Model (L-F-L-PAM), to capture correlations among multiple labels. In our approach of multi-label learning on text data, ...
The model allows for situations in which some cases chose among all possible alternatives, whereas other cases were given a choice among a subset of them, and perhaps other cases were given a choice among a different subset. The number of observations for each case is equal to the number of...
beyond its capacity to handle the standard multivariate methods as special cases, set correlation offers some useful novel data-analytic techniques, among which are illustrated a hierarchical analysis of common and unique aspects of a battery, multivariate contrasts among outcomes, the multivariate analysi...