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.. | ||
cdf | ||
ctor | ||
docs/types | ||
entropy | ||
kurtosis | ||
lib | ||
logpmf | ||
mean | ||
median | ||
mgf | ||
mode | ||
pmf | ||
quantile | ||
skewness | ||
stdev | ||
variance | ||
package.json | ||
README.md |
Binomial
Binomial distribution.
Usage
var binomial = require( '@stdlib/stats/base/dists/binomial' );
binomial
Binomial distribution.
var dist = binomial;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, n, p )
: binomial distribution cumulative distribution function.logpmf( x, n, p )
: evaluate the natural logarithm of the probability mass function (PMF) for a binomial distribution.mgf( t, n, p )
: binomial distribution moment-generating function (MGF).pmf( x, n, p )
: binomial distribution probability mass function (PMF).quantile( r, n, p )
: binomial distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( n, p )
: binomial distribution entropy.kurtosis( n, p )
: binomial distribution excess kurtosis.mean( n, p )
: binomial distribution expected value.median( n, p )
: binomial distribution median.mode( n, p )
: binomial distribution mode.skewness( n, p )
: binomial distribution skewness.stdev( n, p )
: binomial distribution standard deviation.variance( n, p )
: binomial distribution variance.
The namespace contains a constructor function for creating a binomial distribution object.
Binomial( [n, p] )
: binomial distribution constructor.
var Binomial = require( '@stdlib/stats/base/dists/binomial' ).Binomial;
var dist = new Binomial( 10, 0.4 );
var mu = dist.mean;
// returns 4
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var binomial = require( '@stdlib/stats/base/dists/binomial' );
console.log( objectKeys( binomial ) );