Noncentral chi distribution

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Noncentral chi

Parameters	${\displaystyle k>0\,}$ degrees of freedom ${\displaystyle \lambda >0\,}$
Support	${\displaystyle x\in [0;+\infty )\,}$
PDF	${\displaystyle {\frac {e^{-(x^{2}+\lambda ^{2})/2}x^{k}\lambda }{(\lambda x)^{k/2}}}I_{k/2-1}(\lambda x)}$
CDF	${\displaystyle 1-Q_{\frac {k}{2}}\left(\lambda ,x\right)}$ with Marcum Q-function ${\displaystyle Q_{M}(a,b)}$
Mean	${\displaystyle {\sqrt {\frac {\pi }{2}}}L_{1/2}^{(k/2-1)}\left({\frac {-\lambda ^{2}}{2}}\right)\,}$
Variance	${\displaystyle k+\lambda ^{2}-\mu ^{2}}$, where ${\displaystyle \mu }$ is the mean

In probability theory and statistics, the noncentral chi distribution^[1] is a noncentral generalization of the chi distribution. It is also known as the generalized Rayleigh distribution.