@stdlib/stats-base-dists-levy-pdf
v0.3.0
Published
Lévy distribution probability density function (PDF).
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Probability Density Function
Lévy distribution probability density function (PDF).
The probability density function (PDF) for a Lévy random variable is
where μ is the location parameter and c > 0 is the scale parameter.
Installation
npm install @stdlib/stats-base-dists-levy-pdfUsage
var pdf = require( '@stdlib/stats-base-dists-levy-pdf' );pdf( x, mu, c )
Evaluates the probability density function (PDF) for a Lévy distribution with parameters mu (location parameter) and c (scale parameter).
var y = pdf( 2.0, 0.0, 1.0 );
// returns ~0.11
y = pdf( -1.0, 4.0, 4.0 );
// returns 0.0If provided NaN as any argument, the function returns NaN.
var y = pdf( NaN, 0.0, 1.0 );
// returns NaN
y = pdf( 0.0, NaN, 1.0 );
// returns NaN
y = pdf( 0.0, 0.0, NaN );
// returns NaNIf provided c <= 0, the function returns NaN.
var y = pdf( 2.0, 0.0, -1.0 );
// returns NaN
y = pdf( 2.0, 0.0, 0.0 );
// returns NaNpdf.factory( mu, c )
Returns a function for evaluating the probability density function (PDF) of a Lévy distribution with parameters mu (location parameter) and c (scale parameter).
var mypdf = pdf.factory( 10.0, 2.0 );
var y = mypdf( 11.0 );
// returns ~0.208
y = mypdf( 20.0 );
// returns ~0.016Examples
var uniform = require( '@stdlib/random-base-uniform' );
var EPS = require( '@stdlib/constants-float64-eps' );
var pdf = require( '@stdlib/stats-base-dists-levy-pdf' );
var mu;
var c;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
mu = uniform( 0.0, 10.0 );
x = uniform( mu, mu + 10.0 );
c = uniform( EPS, 10.0 );
y = pdf( x, mu, c );
console.log( 'x: %d, µ: %d, c: %d, f(x;µ,c): %d', x, mu, c, y );
}C APIs
Usage
#include "stdlib/stats/base/dists/levy/pdf.h"stdlib_base_dists_levy_pdf( x, mu, c )
Evaluates the probability density for a Lévy distribution with input value x, location parameter mu, and scale parameter c.
double out = stdlib_base_dists_levy_pdf( 2.0, 0.0, 1.0 );
// returns ~0.11The function accepts the following arguments:
- x:
[in] doubleinput value. - mu:
[in] doublelocation parameter. - c:
[in] doublescale parameter.
double stdlib_base_dists_levy_pdf( const double x, const double mu, const double c );Examples
#include "stdlib/stats/base/dists/levy/pdf.h"
#include "stdlib/constants/float64/eps.h"
#include <stdlib.h>
#include <stdio.h>
static double random_uniform( const double min, const double max ) {
double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
return min + ( v*(max-min) );
}
int main( void ) {
double mu;
double x;
double c;
double y;
int i;
for ( i = 0; i < 25; i++ ) {
mu = random_uniform( 0.0, 10.0 );
x = random_uniform( mu, mu + 10.0 );
c = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
y = stdlib_base_dists_levy_pdf( x, mu, c );
printf( "x: %lf, µ: %lf, c: %lf, f(x;µ,c): %lf\n", x, mu, c, 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.
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License
See LICENSE.
Copyright
Copyright © 2016-2026. The Stdlib Authors.
