MATLAB Function Reference |
Syntax
Description
var(X)
returns the variance of X
for vectors. For matrices, var(X)
is a row vector containing the variance of each column of X
. var(X)
normalizes by N-1 where N is the sequence length. The result V
is an unbiased estimator of the variance of the population from which X
is drawn, as long as X
consists of independent, identically distributed samples.
var(X,1)
normalizes by N and produces the second moment of the sample about its mean.
var(X,w)
computes the variance using the weight vector w
. The number of elements in s
must equal the number of rows in X
unless w = 1
, which is treated as a short-cut for a vector of ones. The elements of w
must be positive. var
normalizes w
by dividing each element in w
by the sum of all its elements.
var(X,w,dim)
takes the variance along the dimension dim
of X
. Pass in 0
for w
to use the default normalization by N-1, or 1 to use N.
The variance is the square of the standard deviation (STD).
See Also
corrcoef
, cov
, mean
, median
, std
vander | varargin, varargout |
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