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cdf | ||
ctor | ||
docs/types | ||
entropy | ||
kurtosis | ||
lib | ||
mean | ||
median | ||
mgf | ||
mode | ||
pmf | ||
quantile | ||
skewness | ||
stdev | ||
variance | ||
package.json | ||
README.md |
Bernoulli
Bernoulli distribution.
Usage
var bernoulli = require( '@stdlib/stats/base/dists/bernoulli' );
bernoulli
Bernoulli distribution.
var dist = bernoulli;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, p )
: Bernoulli distribution cumulative distribution function.mgf( t, p )
: Bernoulli distribution moment-generating function (MGF).pmf( x, p )
: Bernoulli distribution probability mass function (PMF).quantile( r, p )
: Bernoulli distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( p )
: Bernoulli distribution entropy.kurtosis( p )
: Bernoulli distribution excess kurtosis.mean( p )
: Bernoulli distribution expected value.median( p )
: Bernoulli distribution median.mode( p )
: Bernoulli distribution mode.skewness( p )
: Bernoulli distribution skewness.stdev( p )
: Bernoulli distribution standard deviation.variance( p )
: Bernoulli distribution variance.
The namespace contains a constructor function for creating a Bernoulli distribution object.
Bernoulli( [p] )
: Bernoulli distribution constructor.
var Bernoulli = require( '@stdlib/stats/base/dists/bernoulli' ).Bernoulli;
var dist = new Bernoulli( 0.2 );
var y = dist.pmf( 0.0 );
// returns 0.8
y = dist.pmf( 1.0 );
// returns 0.2
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var bernoulli = require( '@stdlib/stats/base/dists/bernoulli' );
console.log( objectKeys( bernoulli ) );