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IMPROVING THE INTERPRETATION OF GEOGRAPHICAL CANONICAL CORRELATION MODELS

✍ Scribed by Mark S. Monmonier; Fay Evanko Finn

Book ID
119831765
Publisher
John Wiley and Sons
Year
1973
Tongue
English
Weight
192 KB
Volume
25
Category
Article
ISSN
0033-0124

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## Abstract The contrast‐to‐noise ratio (CNR) is often very low in fMRI data, and standard univariate methods suffer from a loss of sensitivity in the context of noise. The increased power of a multivariate statistical analysis method known as canonical correlation analysis (CCA) in fMRI studies wi