Results 251 to 260 of about 1,105,140 (302)
IgG Glycosylation Patterns May Identify Distinct Clinical Trajectories in Fibromyalgia Patients: A Longitudinal Pilot Study. [PDF]
Kung LC +4 more
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Profiling complement proteins in pediatric tuberculosis children with or without serological evidence of prior SARS-CoV-2 exposure. [PDF]
Kumar NP +14 more
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The impact of supervisor support on academic adaptation of medical research postgraduates: a serial mediation model of research self-efficacy and psychological resilience. [PDF]
Liu Y, Guan W, Zhang L, Han J, Liu J.
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Residual Canonical Correlations
AbstractResidual canonical correlations are defined and are derived in terms of canonical correlations. Some measures of residual association are also defined, in terms of the residual canonical correlations and some possible applications are suggested.
Kshirsagar, Anant M., Gupta, R. P.
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Multivariate Behavioral Research, 1975
A Monte Carlo study was run to check the stability of canonical correlations, canonical weights, and canonical variate-variable correlations. Eight data matrices were selected from the literature for the canonical analyses, with the number of variables ranging from 7 to 41.
James P Stevens
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A Monte Carlo study was run to check the stability of canonical correlations, canonical weights, and canonical variate-variable correlations. Eight data matrices were selected from the literature for the canonical analyses, with the number of variables ranging from 7 to 41.
James P Stevens
exaly +3 more sources
Canonical correlations and canonical time series
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002In this paper, we revisit the problem of interrelations between large correlated data sets by considering cross correlations between a few linear combinations of the elements of each. This problem was studied by Hotelling (see Biometrika, vol.28, p.321-77) and Anderson (1958).
John K. Thomas, Louis L. Scharf
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Constrained Canonical Correlation
Psychometrika, 1982This paper explores some of the problems associated with traditional canonical correlation. A response surface methodology is developed to examine the stability of the derived linear functions, where one wishes to investigate how much the coefficients can change and still be in an ɛ-neighborhood of the globally optimum canonical correlation value.
DeSarbo, Wayne S. +3 more
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A Family of Canonical Correlation Networks
Neural Processing Letters, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pei Ling Lai, Colin Fyfe
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