Definition:Erlang Distribution

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Let $X$ be a continuous random variable on a probability space $\struct {\Omega, \Sigma, \Pr}$.

Let $\Img X = \hointr 0 \infty$.

Let $k$ be a strictly positive integer.

Let $\lambda$ be a strictly positive real number.

$X$ is said to have an Erlang distribution with parameters $k$ and $\lambda$ if and only if it has probability density function:

$\map {f_X} x = \dfrac {\lambda^k x^{k - 1} e^{- \lambda x} } {\map \Gamma k}$

where $\Gamma$ denotes the gamma function.

This is written:

$X \sim \map {\operatorname {Erlang} } {k, \lambda}$

Also see

  • Results about the Erlang distribution can be found here.

Source of Name

This entry was named for Agner Krarup Erlang.