Category:Log Normal Distribution
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This category contains results about Log Normal distribution.
Let $X$ be a continuous random variable on a probability space $\struct {\Omega, \Sigma, \Pr}$.
Let $\Img X = \R_{>0}$.
$X$ is said to have a log normal distribution if and only if it has probability density function:
- $\ds \map {f_X} x = \dfrac 1 {\sigma \sqrt {2 \pi} x } \map \exp {-\dfrac {\paren {\map \ln x - \mu}^2} {2 \sigma^2} }$
for $\mu \in \R, \sigma \in \R_{> 0}$.
Pages in category "Log Normal Distribution"
The following 5 pages are in this category, out of 5 total.