Gamma
Overview
The gamma distribution is a continuous probability distribution parameterized by two parameters
{% \alpha %}, {% \beta %}.
Gamma Function
The gamma function is defined to be
{% \Gamma(z) = \int_0^{\infty} x^{z-1}e^{-x}dx %}
Gamma Distribution
The distribution is given by the following function.
{% f(x,\alpha,\beta) = \frac{x^{\alpha-1}e^{- \beta x}\beta^{\alpha}}{\Gamma(\alpha)} %}
Gamma Library
The gamma library provides functionality for doing computations with the gamma distribution.
/lib/statistics/distributions/gamma/v1.0.0/gamma.mjs
Monte Carlo
the gamma library provides a method for computing simulated gamma variables.
let gm = await import('/lib/statistics/distributions/gamma/v1.0.0/gamma.mjs');
let alpha = 0.5;
let beta = 1;
let variate = gm.random(alpha,beta);
Try it!
