<?xml version="1.0" encoding="UTF-8"?>

<record version="5" id="525">
 <title>uniform (continuous) random variable</title>
 <name>UniformContinousRandomVariable</name>
 <created>2001-10-26 04:05:12</created>
 <modified>2006-10-25 00:19:56</modified>
 <type>Definition</type>
 <creator id="2727" name="mathcam"/>
 <author id="2727" name="mathcam"/>
 <author id="23" name="Riemann"/>
 <classification>
	<category scheme="msc" code="60-00"/>
 </classification>
 <synonyms>
	<synonym concept="uniform (continuous) random variable" alias="uniform random variable"/>
	<synonym concept="uniform (continuous) random variable" alias="rectangular distribution"/>
	<synonym concept="uniform (continuous) random variable" alias="uniform distribution"/>
 </synonyms>
 <preamble>\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{graphicx}
\usepackage{xypic}</preamble>
 <content>A random variable $X$ is said to be a \emph{\PMlinkescapetext{uniform} (\PMlinkescapetext{continuous}) random variable} with parameters \textbf{$a$ and $b$} if its probability density function is given by
\begin{align*}
f_X(x) = \frac{1}{b-a},\quad\quad x \in [a,b],
\end{align*}
and is denoted $X\sim U(a,b)$.\\

Notes:
\begin{enumerate}
\item They are also called \emph{rectangular distributions}, considers that all points in the interval $[a,b]$ have the same mass.
\item $E[X] = \frac{a+b}{2}$
\item $Var[X] = \frac{(b-a)^2}{12}$
\item $M_X(t) = \frac{e^{bt} - e^{at}}{(b-a)t}$

\end{enumerate}</content>
</record>
