Create UNU.RAN object for a Log Normal distribution
whose logarithm has mean equal to
meanlog and standard
deviation equal to
[Distribution] – Log Normal.
mean of the distribution on the log scale.
standard deviation of the distribution on the log scale.
lower bound of (truncated) distribution.
upper bound of (truncated) distribution.
The log normal distribution has density
f(x) = 1/(sqrt(2 pi) sigma x) e^-((log x - mu)^2 / (2 sigma^2))
where mu is the mean and sigma the standard deviation of the logarithm.
The domain of the distribution can be truncated to the
An object of class
Josef Leydold and Wolfgang H\"ormann [email protected].
N.L. Johnson, S. Kotz, and N. Balakrishnan (1994): Continuous Univariate Distributions, Volume 1. 2nd edition, John Wiley & Sons, Inc., New York. Chap. 14, p. 207.
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