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Scilab help >> Statistics > mvvacov

mvvacov

computes variance-covariance matrix

Calling Sequence

v=mvvacov(x)

Arguments

x

real or complex vector or matrix

Description

This function computes v, the matrix of variance-covariance of the "tableau" x (x is a numerical matrix nxp) who gives the values of p variables for n individuals: the (i,j) coefficient of v is v(i,j)=E(xi-xibar)(xj-xjbar), where E is the first moment of a variable, xi is the i-th variable and xibar the mean of the xi variable.

Examples

x=[0.2113249 0.0002211 0.6653811;0.7560439 0.4453586 0.6283918]
v=mvvacov(x)

Authors

Carlos Klimann

Bibliography

Saporta, Gilbert, Probabilites, Analyse des Donnees et Statistique, Editions Technip, Paris, 1990. Mardia, K.V., Kent, J.T. & Bibby, J.M., Multivariate Analysis, Academic Press, 1979.

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Last updated:
Thu May 12 11:44:24 CEST 2011