… the affirmative, by producing such a coefficient. No assumptions are needed on the distributions
of the … The new correlation coefficient is defined as (1) ξ n ( X , Y ) : = 1 − 3 ∑ i = 1 n − 1 | …

… A brief overview of existing correlation coefficients is provided in Section 2. Section 3
describes … We use this relation in Section 4 to derive the correlation coefficient ϕ K . …

… range, -1 to +1, depicts a strong negative correlation to a strong positive correlation. No
correlation is indicated if the coefficient is 0. In addition, correlation coefficients between 0.66 and …

… for the CC. We propose a generalized confidence interval for the CC when the underlying
… likelihood-based intervals for the CC when the underlying bivariate distribution is unknown. …

… to the random nature of resting-state BOLD time series between subjects, we expect up to 5%
of the 114 correlation coefficients … We first present a concise overview of the model and the …

… the sake of clarity, our analysis in this study is restricted to the scenarios where Pearson
correlation coefficients … robust for comparing the correlation coefficients of two models under the …

… single target tracking technology and algorithm, this article focuses on the working
principle and development of the correlation filter algorithm. In this paper, we provide a …

… an overview related to the concepts of IFSs, CFSs, and CIFSs. In Section 4, we introduce
correlation and weighted correlation coefficients … on the proposed correlation coefficients under …

… both the PR AUC and the ROC AUC, focusing on the former [… recommend the usage of the
Matthews correlation coefficient … We take advantage of this scatterplot to overview the mutual …

… The fundamental issues underlying the … on the use of the Matthews correlation coefficient
(MCC). A key attribute claimed of the MCC is that a high value can only be attained when the …