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<record version="5" id="512">
 <title>moment generating function</title>
 <name>MomentGeneratingFunction</name>
 <created>2001-10-26 02:53:10</created>
 <modified>2006-09-18 07:12:45</modified>
 <type>Definition</type>
 <creator id="2727" name="mathcam"/>
 <author id="2760" name="yark"/>
 <author id="23" name="Riemann"/>
 <classification>
	<category scheme="msc" code="60E05"/>
 </classification>
 <related>
	<object name="CharacteristicFunction2"/>
	<object name="CumulantGeneratingFunction"/>
 </related>
 <preamble>\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{amsfonts}
%\usepackage{graphicx}
%\usepackage{xypic}</preamble>
 <content>\PMlinkescapeword{words}

Given a random variable $X$, the \emph{moment generating function} of $X$ is the following function:\\
\par
$M_X(t) = E[e^{tX}]$ for $t \in R$ (if the expectation converges).
\par
\par
It can be shown that if the moment generating function of $X$ is defined on an interval around the origin, then\\
\par
$E[X^k] = M_X^{(k)}(t) |_{t=0} $\\
\par
In other words, the $k$th-derivative of the moment generating function evaluated at zero is the $k$th moment of $X$.</content>
</record>
