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Chi-squared distribution constructor.
import ChiSquare from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-chisquare-ctor@deno/mod.js';
Returns an chi-squared distribution object.
var chisquare = new ChiSquare();
var mu = chisquare.mean;
// returns 1.0
By default, k = 1.0
. To create a distribution having a different degrees of freedom k
, provide a parameter value.
var chisquare = new ChiSquare( 4.0 );
var mu = chisquare.mean;
// returns 4.0
A chi-squared distribution object has the following properties and methods...
Rate parameter of the distribution. k
must be a positive number.
var chisquare = new ChiSquare( 2.0 );
var k = chisquare.k;
// returns 2.0
chisquare.k = 3.0;
k = chisquare.k;
// returns 3.0
Returns the differential entropy.
var chisquare = new ChiSquare( 4.0 );
var entropy = chisquare.entropy;
// returns ~2.27
Returns the excess kurtosis.
var chisquare = new ChiSquare( 4.0 );
var kurtosis = chisquare.kurtosis;
// returns 3.0
Returns the expected value.
var chisquare = new ChiSquare( 4.0 );
var mu = chisquare.mean;
// returns 4.0
Returns the median.
var chisquare = new ChiSquare( 4.0 );
var median = chisquare.median;
// returns ~3.357
Returns the mode.
var chisquare = new ChiSquare( 4.0 );
var mode = chisquare.mode;
// returns 2.0
Returns the skewness.
var chisquare = new ChiSquare( 4.0 );
var skewness = chisquare.skewness;
// returns ~1.414
Returns the standard deviation.
var chisquare = new ChiSquare( 4.0 );
var s = chisquare.stdev;
// returns ~2.828
Returns the variance.
var chisquare = new ChiSquare( 4.0 );
var s2 = chisquare.variance;
// returns 8.0
Evaluates the cumulative distribution function (CDF).
var chisquare = new ChiSquare( 2.0 );
var y = chisquare.cdf( 0.5 );
// returns ~0.221
Evaluates the moment-generating function (MGF).
var chisquare = new ChiSquare( 2.0 );
var y = chisquare.mgf( 0.2 );
// returns ~1.667
Evaluates the probability density function (PDF).
var chisquare = new ChiSquare( 2.0 );
var y = chisquare.pdf( 0.8 );
// returns ~0.335
Evaluates the quantile function at probability p
.
var chisquare = new ChiSquare( 2.0 );
var y = chisquare.quantile( 0.5 );
// returns ~1.386
y = chisquare.quantile( 1.9 );
// returns NaN
import ChiSquare from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-chisquare-ctor@deno/mod.js';
var chisquare = new ChiSquare( 2.0 );
var mu = chisquare.mean;
// returns 2.0
var mode = chisquare.mode;
// returns 0.0
var s2 = chisquare.variance;
// returns 4.0
var y = chisquare.cdf( 0.8 );
// returns ~0.33
This package is part of stdlib, a standard library 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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