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Triangular distribution.
npm install @stdlib/stats-base-dists-triangularvar triangular = require( '@stdlib/stats-base-dists-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 NaNvar objectKeys = require( '@stdlib/utils-keys' );
var triangular = require( '@stdlib/stats-base-dists-triangular' );
console.log( objectKeys( triangular ) );This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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