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Bernoulli distribution constructor.
import Bernoulli from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-bernoulli-ctor@esm/index.mjs';Returns a Bernoulli distribution object.
var bernoulli = new Bernoulli();
var mean = bernoulli.mean;
// returns 0.5By default, p = 0.5. To create a distribution having a different success probability p, provide a parameter value.
var bernoulli = new Bernoulli( 0.2 );
var mean = bernoulli.mean;
// returns 0.2A Bernoulli distribution object has the following properties and methods...
Success probability of the distribution. p must be a probability.
var bernoulli = new Bernoulli( 0.2 );
var p = bernoulli.p;
// returns 0.2
bernoulli.p = 0.3;
p = bernoulli.p;
// returns 0.3Returns the differential entropy.
var bernoulli = new Bernoulli( 0.4 );
var entropy = bernoulli.entropy;
// returns ~0.673Returns the excess kurtosis.
var bernoulli = new Bernoulli( 0.4 );
var kurtosis = bernoulli.kurtosis;
// returns ~-1.833Returns the median.
var bernoulli = new Bernoulli( 0.4 );
var mu = bernoulli.mean;
// returns 0.4Returns the median.
var bernoulli = new Bernoulli( 0.4 );
var median = bernoulli.median;
// returns 0.0Returns the mode.
var bernoulli = new Bernoulli( 0.4 );
var mode = bernoulli.mode;
// returns 0.0Returns the skewness.
var bernoulli = new Bernoulli( 0.4 );
var skewness = bernoulli.skewness;
// returns ~0.408Returns the standard deviation.
var bernoulli = new Bernoulli( 0.4 );
var s = bernoulli.stdev;
// returns ~0.49Returns the variance.
var bernoulli = new Bernoulli( 0.4 );
var s2 = bernoulli.variance;
// returns 0.24Evaluates the cumulative distribution function (CDF).
var bernoulli = new Bernoulli( 0.2 );
var y = bernoulli.cdf( 0.5 );
// returns 0.8Evaluates the moment-generating function (MGF).
var bernoulli = new Bernoulli( 0.2 );
var y = bernoulli.mgf( -3.0 );
// returns ~0.81Evaluates the probability mass function (PMF).
var bernoulli = new Bernoulli( 0.2 );
var y = bernoulli.pmf( 0.0 );
// returns 0.8
y = bernoulli.pmf( 1.0 );
// returns 0.2Evaluates the quantile function at probability p.
var bernoulli = new Bernoulli( 0.2 );
var y = bernoulli.quantile( 0.5 );
// returns 0
y = bernoulli.quantile( 0.9 );
// returns 1<!DOCTYPE html>
<html lang="en">
<body>
<script type="module">
import Bernoulli from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-bernoulli-ctor@esm/index.mjs';
var bernoulli = new Bernoulli( 0.5 );
var mu = bernoulli.mean;
// returns 0.5
var s2 = bernoulli.variance;
// returns 0.25
var y = bernoulli.cdf( 2.0 );
// returns 1.0
</script>
</body>
</html>This package is part of stdlib, a standard library with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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