Multivariate normale verdeling: verschil tussen versies

k
 
:<math>
f_X(x_1, \dots, x_n)=
=
</math>
::<math>
\frac 1{\sqrt{(2\pi)^n|\Sigma|}}
e^{-\begin{matrix}\fractfrac 12\end{matrix}(x - \mu)'\ \Sigma^{-1}(x-\mu)}.
\exp
\left(
-\begin{matrix}\frac 12\end{matrix}(x - \mu)'\ \Sigma^{-1}(x-\mu)
\right).
</math>
 
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