The gamma distribution is a two-parameter family of continuous probability distributions.
The exponential distribution, the Erlang distribution and the chi-square distribution are special cases of the gamma distribution.
There are two different commonly used parametrizations:
1. With a shape parameter k and a scale parameter θ.
2. With a shape parameter α = k and an inverse scale parameter β = 1/θ which is called rate parameter.
In each of these forms, both parameters are positive real numbers.
The gamma distribution is the maximum entropy probability distribution for a random variable X for which E[X] = kθ = α/β is fixed and greater than zero and E[ln] = ψ + ln = ψ − ln fixed rule .
Welcome, my name is Eric Soupet and I am the administrator of the site elodees.com. elodees.com is a state of the art of Artificial Intelligence and aims to be collaborative, you can now offer content such as articles, events, tutorials, ... so don't hesitate !
