next up previous contents
Next: Examples of continuous distributions Up: Distributions Previous: Distributions   Contents

Def.

A random variable $ X$ is said to be continuous if its cumulative distribution function has the form

$\displaystyle F_X(x) = \int_{-\infty}^{x} f_X(\xi) d\xi
$

$ f_X$ is called the probability density function (briefly density) of $ X$.
Clearly

$\displaystyle f_X(x) \ge 0, \quad \int_{-\infty}^{+\infty} f_X(\xi) d\xi = 1
$

for any density function $ f_X$.



Mario Putti 2003-10-06