Dimension reduction via principal variables
Copyright policy )Dimension reduction via principal variables
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
- Durham University United Kingdom
longitudinal data, Principal components, Variable selection, Partial correlation, 006, Partial covariance, Factor analysis and principal components; correspondence analysis, partial covariance, Applications of statistics to biology and medical sciences; meta analysis, repeated measures, partial correlation, Utility, Utility., utility, Computational methods for problems pertaining to statistics, variable selection, principal components
longitudinal data, Principal components, Variable selection, Partial correlation, 006, Partial covariance, Factor analysis and principal components; correspondence analysis, partial covariance, Applications of statistics to biology and medical sciences; meta analysis, repeated measures, partial correlation, Utility, Utility., utility, Computational methods for problems pertaining to statistics, variable selection, principal components
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).43 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!