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Aide Scilab >> Statistiques > msd

msd

mean squared deviation

Calling Sequence

y=msd(x)
y=msd(x,'r') or m=msd(x,1)
y=msd(x,'c') or m=msd(x,2)

Arguments

x

real or complex vector or matrix

Description

This function computes the mean squared deviation of the values of a vector or matrix x.

For a vector or a matrix x, y=msd(x) returns in the scalar y the mean squared deviation of all the entries of x.

y=msd(x,'r') (or, equivalently, y=msd(x,1)) is the rowwise mean squared deviation. It returns in each entry of the row vector y the mean squared deviation of each column of x.

y=msd(x,'c') (or, equivalently, m=msd(x,2)) is the columnwise mean squared deviation. It returns in each entry of the column vector y the mean squared deviation of each row of x.

Examples

x=[0.2113249 0.0002211 0.6653811;0.7560439 0.3303271 0.6283918]
m=msd(x)
m=msd(x,'r')
m=msd(x,'c')

Authors

Carlos Klimann

Bibliography

Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.

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Last updated:
Wed Oct 05 12:10:58 CEST 2011