pdfLogNorm#
Purpose#
Computes the probability density function of the log-normal distribution.
Format#
- p = pdfLogNorm(x[, mu[, sigma]])#
- Parameters:
x (matrix or array) – data
mu (scalar) – Optional input, the mean parameter. Default = 0.
sigma (scalar) – Optional input, the standard deviation parameter. Default = 1.
- Returns:
p (matrix or array) – of the same dimension as the input x, contains the probabilities of the log-normal distribution.
Examples#
Basic Example#
// Use default 'mu' and 'sigma'
p = pdfLogNorm(3.1);
After the above, code p will equal:
0.067855420
Specify ‘mu’ and ‘sigma’#
// Create vector of 'x' values
x = { 0.1, 1.6, 2 };
mu = 1.5;
sigma = 2;
// Compute the PDF for the lognormal distribution
// parameterized by mu = 1.5 and sigma = 2
p = pdfLogNorm(x, mu, sigma);
After the above, code p will equal:
0.32727408
0.10918617
0.091940897
See also
Functions cdfn_cdfNc(), pdfTruncNorm(), cdfTruncNorm(), cdfLogNorm()