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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 | ||
Poisson
Poisson distribution.
Usage
var poisson = require( '@stdlib/stats/base/dists/poisson' );
poisson
Poisson distribution.
var dist = poisson;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, lambda ): Poisson distribution cumulative distribution function.logpmf( x, lambda ): evaluate the natural logarithm of the probability mass function (PMF) for a Poisson distribution.mgf( t, lambda ): Poisson distribution moment-generating function (MGF).pmf( x, lambda ): Poisson distribution probability mass function (PMF).quantile( p, lambda ): Poisson distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
kurtosis( lambda ): Poisson distribution excess kurtosis.mean( lambda ): Poisson distribution expected value.median( lambda ): Poisson distribution median.mode( lambda ): Poisson distribution mode.skewness( lambda ): Poisson distribution skewness.stdev( lambda ): Poisson distribution standard deviation.variance( lambda ): Poisson distribution variance.
The namespace contains a constructor function for creating a Poisson distribution object.
Poisson( [lambda] ): Poisson distribution constructor.
var Poisson = require( '@stdlib/stats/base/dists/poisson' ).Poisson;
var dist = new Poisson( 2.0 );
var y = dist.pmf( 3.0 );
// returns ~0.18
y = dist.pmf( 2.3 );
// returns 0.0
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var poisson = require( '@stdlib/stats/base/dists/poisson' );
console.log( objectKeys( poisson ) );