Chi-squared

Chi-squared distribution.

Usage

var chisquare = require( '@stdlib/stats/base/dists/chisquare' );

chisquare

Chi-squared distribution.

var dist = chisquare;
// returns {...}

The namespace contains the following distribution functions:

cdf( x, k ): Chi-squared distribution cumulative distribution function.
logpdf( x, k ): evaluate the natural logarithm of the probability density function (PDF) for a chi-squared distribution.
mgf( t, k ): Chi-squared distribution moment-generating function (MGF).
pdf( x, k ): Chi-squared distribution probability density function (PDF).
quantile( p, k ): Chi-squared distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

entropy( k ): Chi-squared distribution differential entropy.
kurtosis( k ): Chi-squared distribution excess kurtosis.
mean( k ): Chi-squared distribution expected value.
median( k ): Chi-squared distribution median.
mode( k ): Chi-squared distribution mode.
skewness( k ): Chi-squared distribution skewness.
stdev( k ): Chi-squared distribution standard deviation.
variance( k ): Chi-squared distribution variance.

The namespace contains a constructor function for creating a Chi-squared distribution object.

ChiSquare( [k] ): Chi-squared distribution constructor.

var ChiSquare = require( '@stdlib/stats/base/dists/chisquare' ).ChiSquare;

var dist = new ChiSquare( 4.0 );

var mu = dist.mean;
// returns 4.0

Examples

var objectKeys = require( '@stdlib/utils/keys' );
var chisquare = require( '@stdlib/stats/base/dists/chisquare' );

console.log( objectKeys( chisquare ) );