Cumulative distribution function for Gaussian mixture
distribution
Syntax
y = cdf(obj,X)
Description
y = cdf(obj,X) returns a vector y of
length n containing the values of the cumulative
distribution function (cdf) for the gmdistribution object obj,
evaluated at the n-by-d data
matrix X, where n is the number
of observations and d is the dimension of the data. obj is
an object created by gmdistribution or fit. y(I) is
the cdf of observation I.
Examples
Create a gmdistribution object defining a
two-component mixture of bivariate Gaussian distributions:
MU = [1 2;-3 -5];
SIGMA = cat(3,[2 0;0 .5],[1 0;0 1]);
p = ones(1,2)/2;
obj = gmdistribution(MU,SIGMA,p);
ezsurf(@(x,y)cdf(obj,[x y]),[-10 10],[-10 10])
See Also
gmdistribution, fit, pdf, mvncdf
 | catsplit (classregtree) | | ccdesign |  |
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