Complex Pearson Correlation Coefficient for EEG Connectivity Analysis [PDF]
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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An Algorithm Based on Correlation Coefficient Under Neutrosophic hypersoft set environment with its Application for Decision-Makings [PDF]
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]
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
doaj +1 more source
Regression models of Pearson correlation coefficient
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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Evaluating the reliability of the athlete sleep behavior questionnaire (ASBQ): a meta-analysis of Cronbach's alpha and intraclass correlation coefficient. [PDF]
Trabelsi K +4 more
europepmc +3 more sources
Rank–Polyserial Correlation: A Quest for a “Missing” Coefficient of Correlation
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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Robust Estimators for the Correlation Measure to Resist Outliers in Data
The objective of this research was to propose a composite correlation coefficient to estimate the rank correlation coefficient of two variables. A simulation study was conducted using 228 situations for a bivariate normal distribution to compare the ...
Juthaphorn Sinsomboonthong
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CORRELATION AND PATH COEFFICIENT ANALYSIS IN BREAD WHEAT [PDF]
Fifteen genotypes of bread wheat in addition to the two local varieties (Sham6 and Abu-Graib3) were planted inside Mosul University under three spaces between rows (15, 25 and 35cm) using split plots system in randomized complete block design with three ...
Safwan Alnajjar, Khalid Dawod
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Statistical Relations of the Qualitative Attributes of Real Properties Subject to Mass Appraisal
Research background: Every real estate may be described with a multitude of attributes. In the process of real estate appraisal only those properties are taken into account that significantly affect its value.
Dmytrów Krzysztof +2 more
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Correlation and Path Coefficient Analysis in Indian Oil Palm genotypes
Oil palm Elaeis guineensis Jacq is the highest oil-yielding perennial plant. In this paper, Genotypic and phenotypic correlation coefficients and path analysis study was discussed conducted on 58 Indian Oil palm genotypes for twenty four characters ...
P. Balakrishna +3 more
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