|  | ||
|---|---|---|
| .. | ||
| 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 ) );