Random number generator of many statistical distributions.
Demo: http://blog.codinglabs.org/demo/distributions.html
Algorithm reference: http://ftp.arl.mil/random/random.pdf
npm install random-distrib.js
<script type="text/javascript" src="/path/to/random.js"></script>
<!-- html -->
<script type="text/javascript">
var newPoint = random.normal(0, 1);
</script>
var random = require('/path/to/random');
var newPoint = random.normal(0, 1);
arcsine(min, max);
beta(v, w, min, max);
cauchy(a, b);
chiSquare(df);
consine(min, max);
doubleLog(min, max);
erlang(b, c);
exponential(a, b);
extremeValue(a, b);
fRatio(v, w);
gamma(a, b, c);
laplace(a, b);
logarithmic(min, max);
logistic(a, b);
lognormal(a, mu, sigma);
normal(mu, sigma);
parabolic(min, max);
pareto(c);
pearson5(b, c);
pearson6(b, v, w);
power(c);
rayleigh(a, b);
studentT(df);
triangular(min, max, c);
uniform(min, max);
userSpecified(usf, xMin, xMax, yMin, yMax);
weibull(a, b, c);
bernoulli(p);
binomial(n, p);
geometric(p);
hypergeometric(n, N, k);
negativeBinomial(s, p);
pascal(s, p);
poisson(mu);
uniformDiscrete(i, j);