cdfLogNorm#
Purpose#
Computes the cumulative distribution function of the log-normal distribution.
Format#
- p = cdfLogNorm(x[, mu, sigma])#
- Parameters:
x (NxK matrix, Nx1 vector or scalar.) – Values at which to evaluate the cumulative distribution function for the log-normal distribution.
mu (scalar) – Optional input, the mean parameter. Default = 0.
std (scalar) – Optional input, the standard deviation parameter. Default = 1.
- Returns:
p (NxK matrix, Nx1 vector or scalar) – Each element in p is the cumulative distribution function of the log-normal distribution evaluated at the corresponding element in x.
Examples#
Basic Example#
// Use default 'mu' and 'sigma'
p = cdfLogNorm(1.7);
After the above, code p will equal:
0.70216179
Specify ‘mu’ and ‘std’#
// Create vector of 'x' values
x = { 0.1, 1.6, 2 };
// Assign mu value
mu = 1.5;
// Assign standard deviation
std = 2;
/*
** Compute the CDF for the lognormal distribution
** parameterized by mu = 1.5 and sigma = 2
*/
p = cdfLogNorm(x, mu, std);
After the above, code p will equal:
0.028631852
0.30327714
0.34331728
See also
Functions cdfn_cdfNc(), pdfTruncNorm(), cdfTruncNorm(), pdfLogNorm()