== Specification == === Probability density function === Because the pdf can be expressed in terms of the square of the hyperbolic secant function `sech`, it is sometimes referred to as the sech-square(d) distribution. === Cumulative distribution function === In this equation, x is the random variable, μ is the mean, and s is a scale parameter .....
Found on
http://en.wikipedia.org/wiki/Logistic_distribution
Has the cdf F(x) = 1/(1+e
-x) This distribution is quicker to calculate than the normal distribution but is very similar. Another advantage over the normal distribution is that it has a closed form cdf. pdf is f(x) = e
x(1+e
x)
-2 = F(x)F(-x)
Found on
http://www.econterms.com/glossary.cgi?query=logistic+distribution
No exact match found.
