@stdlib/stats-base-dists-frechet-median
v0.3.1
Published
Fréchet distribution median.
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Median
The median for a Fréchet random variable shape α > 0, scale s > 0, and location parameter m is
Installation
npm install @stdlib/stats-base-dists-frechet-medianUsage
var median = require( '@stdlib/stats-base-dists-frechet-median' );median( alpha, s, m )
Returns the median for a Fréchet distribution with shape alpha > 0, scale s > 0, and location parameter m.
var y = median( 2.0, 1.0, 1.0 );
// returns ~2.201
y = median( 1.0, 2.0, -3.0 );
// returns ~-0.115
y = median( 1.0, 1.0, 2.0 );
// returns ~3.443If provided NaN as any argument, the function returns NaN.
var y = median( NaN, 1.0, -2.0 );
// returns NaN
y = median( 1.0, NaN, -2.0 );
// returns NaN
y = median( 1.0, 1.0, NaN );
// returns NaNIf provided alpha <= 0, the function returns NaN.
var y = median( 0.0, 3.0, 2.0 );
// returns NaN
y = median( 0.0, -1.0, 2.0 );
// returns NaNIf provided s <= 0, the function returns NaN.
var y = median( 1.0, 0.0, 2.0 );
// returns NaN
y = median( 1.0, -1.0, 2.0 );
// returns NaNExamples
var randu = require( '@stdlib/random-base-randu' );
var EPS = require( '@stdlib/constants-float64-eps' );
var median = require( '@stdlib/stats-base-dists-frechet-median' );
var alpha;
var m;
var s;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
alpha = ( randu()*20.0 ) + EPS;
s = ( randu()*20.0 ) + EPS;
m = ( randu()*40.0 ) - 20.0;
y = median( alpha, s, m );
console.log( 'α: %d, s: %d, m: %d, Median(X;α,s,m): %d', alpha.toFixed( 4 ), s.toFixed( 4 ), m.toFixed( 4 ), y.toFixed( 4 ) );
}C APIs
Usage
#include "stdlib/stats/base/dists/frechet/median.h"stdlib_base_dists_frechet_median( alpha, s, m )
Returns the median for a Fréchet distribution with shape alpha, scale s, and location m.
double y = stdlib_base_dists_frechet_median( 5.0, 2.0, 0.0 );
// returns ~2.152The function accepts the following arguments:
- alpha:
[in] doubleshape parameter. - s:
[in] doublescale parameter. - m:
[in] doublelocation parameter.
double stdlib_base_dists_frechet_median( const double alpha, const double s, const double m );Examples
#include "stdlib/stats/base/dists/frechet/median.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 alpha;
double s;
double m;
double y;
int i;
for ( i = 0; i < 10; i++ ) {
alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
s = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
m = random_uniform( -20.0, 20.0 );
y = stdlib_base_dists_frechet_median( alpha, s, m );
printf( "α: %.4lf, s: %.4lf, m: %.4lf, Median(X;α,s,m): %.4lf\n", alpha, s, m, 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.
