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<record version="6" id="531">
 <title>Cauchy random variable</title>
 <name>CauchyRandomVariable</name>
 <created>2001-10-26 04:44:25</created>
 <modified>2007-06-24 00:55:11</modified>
 <type>Definition</type>
 <creator id="2727" name="mathcam"/>
 <author id="2727" name="mathcam"/>
 <author id="23" name="Riemann"/>
 <classification>
	<category scheme="msc" code="60A10"/>
 </classification>
 <synonyms>
	<synonym concept="Cauchy random variable" alias="Cauchy distribution"/>
 </synonyms>
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 <content>$X$ is a \textbf{Cauchy random variable} with parameters $\theta\in\R$ and $\beta&gt;0\in\R$, commonly denoted $X\sim Cauchy(\theta,\beta)$ if 
\begin{align*}
f_X(x)=\frac{1}{\pi\beta[1+(\frac{x-\theta}{\beta})^2]}.
\end{align*}

Cauchy random variables are used primarily for theoretical purposes, the key point being that the values $E[X]$ and $Var[X]$ are undefined for Cauchy random variables.</content>
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