An introduction to new robust linear and monotonic correlation coefficients

An introduction to new robust linear and monotonic correlation coefficients

Background: The most common measure of association between two continuous variables is the Pearson correlation (Maronna et al. in Safari an OMC. Robust statistics, 2019. https://login.proxy.bib.uottawa.ca/login?url=https://learning.oreilly.com/library/view/-/9781119214687/?ar&orpq&email=^u)....

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Bibliographic Details
Main Authors: Bailey, S. (Author), Bursac, Z. (Author), Singh, K.P (Author), Tabatabai, H. (Author), Tabatabai, M. (Author), Wilus, D. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
computer simulation
Computer Simulation
Continuous variables
Correlation coefficient
Correlation estimator
Correlation measures
Correlation methods
Correlation of Data
Diagnosis
Dissimilarity measures
Gene expression
Gene expression levels
HTTP
human
Humans
Linear associations
Mean square error
Median correlation
Minimum covariance determinant
Minimum covariance determinant correlation
Normal distribution
Patient monitoring
Pearson correlation
Quadrant correlation
Root mean square errors
Spearman correlation
Weibull distribution
Williams syndrome
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