Complex Pearson Correlation Coefficient for EEG Connectivity Analysis [PDF]
Sensors, 2022 In the background of all human thinking—acting and reacting are sets of connections between different neurons or groups of neurons. We studied and evaluated these connections using electroencephalography (EEG) brain signals. In this paper, we propose the
Zoran Šverko +3 more
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A Modification of Linfoot's Informational Correlation Coefficient
Austrian Journal of Statistics, 2017 Performance of the Linfoot's informational correlation coefficient is experimentally studied at the bivariate normal distribution. It is satisfactory in the case of a strong correlation and on large samples.
Georgy Shevlyakov, Nikita Vasilevskiy
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A misadventure of the correlation coefficient. [PDF]
Trends Neurosci, 2023 The correlation coefficient gauges linear association between two variables. However, interpreting its value depends on the question at hand. This article argues that relying on the correlation coefficient may be irrelevant for many neuroscience research tasks.
Rusakov DA.
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An Algorithm Based on Correlation Coefficient Under Neutrosophic hypersoft set environment with its Application for Decision-Makings [PDF]
Neutrosophic Sets and Systems, 2021 The correlation coefficient among the two parameters plays a significant part in statistics. Further, the exactness in the assessment of correlation depends upon information from the set of discourse. The data collected for various statistical studies is
Rana Muhammad Zulqarnain +4 more
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Decision-Making Approach Based on Correlation Coefficient with its Properties Under Interval-Valued Neutrosophic hypersoft set environment [PDF]
Neutrosophic Sets and Systems, 2021 The correlation coefficient between two variables plays an essential part in statistics. In addition, the preciseness in the assessment of correlation relies on information from the set of discourse.
Rana Muhammad Zulqarnain +5 more
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Regression models of Pearson correlation coefficient
Statistical Theory and Related Fields, 2023 We propose two simple regression models of Pearson correlation coefficient of two normal responses or binary responses to assess the effect of covariates of interest. Likelihood-based inference is established to estimate the regression coefficients, upon
Abdisa G. Dufera, Tiantian Liu, Jin Xu
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On the Partial and Multiple Correlation Coefficients for Nonstationary Stochastic Processes, Part II [PDF]
The Egyptian Statistical Journal, 1980 This part of the paper deals with the partial multiple correlation coefficients of coherence for nonstationary stochastic processes and their properties.
N.B Saweris, N. Abd Rabbo
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A New Coefficient of Correlation [PDF]
Journal of the American Statistical Association, 2020 Is it possible to define a coefficient of correlation which is (a) as simple as the classical coefficients like Pearson's correlation or Spearman's correlation, and yet (b) consistently estimates some simple and interpretable measure of the degree of dependence between the variables, which is 0 if and only if the variables are independent and 1 if and ...
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Rank–Polyserial Correlation: A Quest for a “Missing” Coefficient of Correlation
Frontiers in Applied Mathematics and Statistics, 2022 In the typology of coefficients of correlation, we seem to miss such estimators of correlation as rank–polyserial (RRPS) and rank–polychoric (RRPC) coefficients of correlation. This article discusses a set of options as RRP, including both RRPS and RRPC.
Jari Metsämuuronen, Jari Metsämuuronen
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Jackknife Empirical Likelihood For The Correlation Coefficient With Additive Distortion Errors
, 2022 The calculation of correlation coefficient can be inaccurate with the existence of distortion measurement errors. Such measurement errors could act in an additive or multiplicative fashion.
Chen, Da
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