Namespaces
Variants
Actions

Difference between revisions of "Correlation matrix"

From Encyclopedia of Mathematics
Jump to: navigation, search
(Importing text file)
 
m (tex encoded by computer)
 
Line 1: Line 1:
The matrix of correlation coefficients of several random variables. If <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265701.png" /> are random variables with non-zero variances <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265702.png" />, then the matrix entries <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265703.png" /> (<img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265704.png" />) are equal to the correlation coefficients (cf. [[Correlation coefficient|Correlation coefficient]]) <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265705.png" />; for <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265706.png" /> the element is defined to be 1. The properties of the correlation matrix <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265707.png" /> are determined by the properties of the [[Covariance matrix|covariance matrix]] <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265708.png" />, by virtue of the relation <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c0265709.png" />, where <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c02657010.png" /> is the diagonal matrix with (diagonal) entries <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c026/c026570/c02657011.png" />.
+
<!--
 +
c0265701.png
 +
$#A+1 = 11 n = 0
 +
$#C+1 = 11 : ~/encyclopedia/old_files/data/C026/C.0206570 Correlation matrix
 +
Automatically converted into TeX, above some diagnostics.
 +
Please remove this comment and the {{TEX|auto}} line below,
 +
if TeX found to be correct.
 +
-->
 +
 
 +
{{TEX|auto}}
 +
{{TEX|done}}
 +
 
 +
The matrix of correlation coefficients of several random variables. If  $  X _ {1} \dots X _ {n} $
 +
are random variables with non-zero variances $  \sigma _ {1}  ^ {2} \dots \sigma _ {n}  ^ {2} $,  
 +
then the matrix entries $  \rho _ {ij} $(
 +
$  i \neq j $)  
 +
are equal to the correlation coefficients (cf. [[Correlation coefficient|Correlation coefficient]]) $  \rho ( X _ {i} , X _ {j} ) $;  
 +
for $  i = j $
 +
the element is defined to be 1. The properties of the correlation matrix $  {\mathsf P} $
 +
are determined by the properties of the [[Covariance matrix|covariance matrix]] $  \Sigma $,  
 +
by virtue of the relation $  \Sigma = B {\mathsf P} B $,  
 +
where $  B $
 +
is the diagonal matrix with (diagonal) entries $  \sigma _ {1} \dots \sigma _ {n} $.

Latest revision as of 17:31, 5 June 2020


The matrix of correlation coefficients of several random variables. If $ X _ {1} \dots X _ {n} $ are random variables with non-zero variances $ \sigma _ {1} ^ {2} \dots \sigma _ {n} ^ {2} $, then the matrix entries $ \rho _ {ij} $( $ i \neq j $) are equal to the correlation coefficients (cf. Correlation coefficient) $ \rho ( X _ {i} , X _ {j} ) $; for $ i = j $ the element is defined to be 1. The properties of the correlation matrix $ {\mathsf P} $ are determined by the properties of the covariance matrix $ \Sigma $, by virtue of the relation $ \Sigma = B {\mathsf P} B $, where $ B $ is the diagonal matrix with (diagonal) entries $ \sigma _ {1} \dots \sigma _ {n} $.

How to Cite This Entry:
Correlation matrix. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Correlation_matrix&oldid=19066
This article was adapted from an original article by A.V. Prokhorov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article