pdfn¶
Purpose¶
Computes the standard Normal (scalar) probability density function.
Format¶
-
p =
pdfn(x[, mu[, sigma]])¶ - Parameters:
x (NxK matrix or N-dimensional array.) – data
mu (scalar) – Optional input, mean parameter. Default = 0.
sigma (scalar) – Optional input, standard deviation parameter. Default = 1.
- Returns:
p (NxK matrix or N-dimensional array) – contains the standard Normal probability density function of x.
Examples¶
Example 1¶
x = { -3, -2, 0, 2, 3 };
y = pdfn(x);
After the code above:
0.0044318484
0.053990967
y = 0.39894228
0.053990967
0.004431848
Example 2¶
x = 1.5; mu = 3; sigma = 2; p = pdfn(x, mu, sigma);
After the code above, p should equal:
0.15056872
Remarks¶
This does not compute the joint Normal density function. Instead, the scalar Normal density function is computed element-by-element. y could be computed by the following GAUSS code:
y =(1/sqrt(2*pi))*exp(-(x.*x)/2);
See also
Functions pdfTruncNorm()