Correlation of oscillatory behaviour in Matlab using wavelets

In this paper, we propose two new estimators of the multivariate rank correlation coefficient Spearman's footrule which are based on two ...







Nonparametric Measures of Angular-Angular Association
... Rank correlation; T-linear association; T-monotone ... these statistics, tln, is an analogue of Spearman's rho and a modification of a statistic.
A Rank Correlation Model Class for Exceptional Model Mining
Spearman's rank correlation coefficient is used to classify the preferred ... Gauthier, T. D. (2001): Detecting trends using spearman's rank ...
Välkommen till BTH - DiVA
(i.e. the Spearman's rank correlation coefficient of a with the identity en is zero). ... [11] T. D. Downs, Rotational angular correlations, in: Biorhythms and ...
Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
... TD time series with Pearson correlation coefficient and p-value between ... The Spearman rank correlation coefficient (CC) and p-value of the two time ...
Nonparametric estimation of the multivariate Spearman's footrule
Spearman's rank correlation rho data: essayData$hours and essayData$grade. S ... The actual value of the correlation coefficient is less than Spearman's ...
A Correlation Coefficient for Circular Data
Spearman (rank) correlation. The Pearson correlation is sensitive to outliers in the data, and measures degree of linear relation. An alternative correlation ...
A Real Time Hybrid Pattern Matching Scheme for Stock Time Series
The tool identifies variables by calculating the absolute values of Spearman rank pairwise correlation coefficients between a specified response variable and ...
Right-invariant generalized metrics applied to rank correlation ...
Then Sn = XX? is called the p × n Spearman's rank correlation matrix which can be regarded as a high dimensional extension of the classical nonpara- metric ...
Supplementary - EGUsphere
Spearman's rank correlation matrix under H0, which can be regarded as a high dimensional extension of the classical Spearman's rank correlation coefficient ... td ...
STK4900/9900 - Lecture 2 Program - UiO
The most common is Pearson's product-moment correlation coefficient, which is a correlation method similar to Spearman's rank correlation coefficient, but ...
SCDM: A Spearman Correlation-based Data Mining tool for large ...
Multivariate Spearman's ? is defined using copulas, and we show that the geometric mean of normalised ranks maximises multivariate correlation. Motivated by ...
1 APPLICATIONS OF CORRELATION ANALYSIS IN ...
2 Spearman's coefficient uses a monotonic function to assess relationships with rank variables.