@stdlib/stats-base-dists-degenerate-pdf
v0.2.2
Published
Degenerate distribution probability density function (PDF).
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Probability Density Function
Strictly speaking, as a discrete distribution, a degenerate has no probability density function (PDF). Extending the notion of a PDF, we conceptualize the PDF of a degenerate as an infinitely tall spike centered at mu
. More formally,
where delta
is the Dirac delta function.
Installation
npm install @stdlib/stats-base-dists-degenerate-pdf
Usage
var pdf = require( '@stdlib/stats-base-dists-degenerate-pdf' );
pdf( x, mu )
Evaluates the PDF of a degenerate distribution centered at mu
.
var y = pdf( 2.0, 8.0 );
// returns 0.0
y = pdf( 8.0, 8.0 );
// returns Infinity
pdf.factory( mu )
Returns a function for evaluating the PDF of a degenerate distribution centered at mu
.
var mypdf = pdf.factory( 10.0 );
var y = mypdf( 10.0 );
// returns Infinity
y = mypdf( 5.0 );
// returns 0.0
y = mypdf( 12.0 );
// returns 0.0
Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var pdf = require( '@stdlib/stats-base-dists-degenerate-pdf' );
var mu;
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = round( randu()*5.0 );
mu = round( randu()*5.0 );
y = pdf( x, mu );
console.log( 'x: %d, µ: %d, f(x;µ): %d', x, mu, y );
}
Notice
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.