Erlang distribution (EN) - © Rene Vapenik 2013

Erlang distribution (EN)

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**Rumus**
$P(x)=\left\{\begin{matrix} \frac{\lambda ^{k}x^{k-1}e^{\lambda (-x)}}{\Gamma (k)} & ... & x> 0\\ & & \\ 0 & ... & x\leq 0\end{matrix}\right.$
$E(X)=\frac{k}{\lambda }$	$D(X)=\frac{k}{\lambda^{2} }$
$\gamma _{1}=\frac{2}{\sqrt{k}}$	$\gamma _{2}=\frac{6}{k}+3$

**Characteristics of the distribution (EN)**
Rata-rata	E(X)=
Varians	D(X)=
Skewness	γ₁=
Ex.kurtosis	γ₂=

Fungsi distribusi kumulatif

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Probability mass function (EN)

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