Student's T
Student's t distribution.
Usage
var t = require( '@stdlib/stats/base/dists/t' );
t
Student's t distribution.
var dist = t;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, v ): Student's t distribution cumulative distribution function (CDF).logcdf( x, v ): evaluate the natural logarithm of the cumulative distribution function (CDF) for a Student's t distribution.logpdf( x, v ): evaluate the natural logarithm of the probability density function (PDF) for a Student's t distribution.pdf( x, v ): Student's t distribution probability density function (PDF).quantile( p, v ): Student's t distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( v ): Student's t distribution differential entropy.kurtosis( v ): Student's t distribution excess kurtosis.mean( v ): Student's t distribution expected value.median( v ): Student's t distribution median.mode( v ): Student's t distribution mode.skewness( v ): Student's t distribution skewness.stdev( v ): Student's t distribution variance.variance( v ): Student's t distribution variance.
The namespace contains a constructor function for creating a Student's t distribution object.
T( [v] ): Student's t distribution constructor.
var T = require( '@stdlib/stats/base/dists/t' ).T;
var dist = new T( 2.0 );
var y = dist.cdf( 0.5 );
// returns ~0.667
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var t = require( '@stdlib/stats/base/dists/t' );
console.log( objectKeys( t ) );