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.. | ||
cdf | ||
ctor | ||
docs/types | ||
entropy | ||
kurtosis | ||
lib | ||
logcdf | ||
logpdf | ||
mean | ||
median | ||
mgf | ||
mode | ||
quantile | ||
skewness | ||
stdev | ||
variance | ||
package.json | ||
README.md |
Triangular
Triangular distribution.
Usage
var triangular = require( '@stdlib/stats/base/dists/triangular' );
triangular
Triangular distribution.
var dist = triangular;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, a, b, c )
: triangular distribution cumulative distribution function.logcdf( x, a, b, c )
: triangular distribution logarithm of cumulative distribution function.logpdf( x, a, b, c )
: triangular distribution logarithm of probability density function (PDF).mgf( t, a, b, c )
: triangular distribution moment-generating function (MGF).pdf( x, a, b, c )
: triangular distribution probability density function (PDF).quantile( p, a, b, c )
: triangular distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( a, b, c )
: triangular distribution differential entropy.kurtosis( a, b, c )
: triangular distribution excess kurtosis.mean( a, b, c )
: triangular distribution expected value.median( a, b, c )
: triangular distribution median.mode( a, b, c )
: triangular distribution mode.skewness( a, b, c )
: triangular distribution skewness.stdev( a, b, c )
: triangular distribution standard deviation.variance( a, b, c )
: triangular distribution variance.
The namespace contains a constructor function for creating a triangular distribution object.
Triangular( [a, b, c] )
: triangular distribution constructor.
var Triangular = require( '@stdlib/stats/base/dists/triangular' ).Triangular;
var dist = new Triangular( 2.0, 4.0, 3.0 );
var y = dist.quantile( 0.5 );
// returns 3.0
y = dist.quantile( 1.9 );
// returns NaN
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var triangular = require( '@stdlib/stats/base/dists/triangular' );
console.log( objectKeys( triangular ) );