CGRANDOMWALD
This function creates a vector of N random numbers using an Inverse Gaussian Distribution,
which is also known as the Wald Distribution. The reference for the code can be found at
http://en.wikipedia.org/wiki/Inverse_Gaussian_distribution.
Categories
Utility
Params
seed: in, optional
The seed for the random number generator. If undefined, on output will
have the seed used by the IDL RandomU function. See the documentation
for RandomU for additional information.
dims: in, optional, type=integer
A scalar or integer array defining the dimensions of the result. If no dimensions
are specified, a single random number is returned. If `Dims` is a scalar, a 1D vector
of that number of values will be returned.
Keywords
mu: in, optional, type=double, default=1.0
The mean of the distribution.
lambda: in, optional, type=double, default=1.0
The shape parameter of the distribution. As lambda tends to infinity, the inverse
distribution becomes more like a normal distribution.
Examples
For example, to create 100 random numbers, using the Wald distribution::
wald = cgRandomWald(seed, 100)
To create a 20-column by 10-row array of random numbers::
wald = cgRandoWald(seed, [20,10])
Author
FANNING SOFTWARE CONSULTING::
David W. Fanning
1645 Sheely Drive
Fort Collins, CO 80526 USA
Phone: 970-221-0438
E-mail: david@idlcoyote.com
Coyote's Guide to IDL Programming: http://www.idlcoyote.com
History
Written, 25 Oct 2012, by David W. Fanning.
Copyright
Copyright (c) 2012, Fanning Software Consulting, Inc.