@stdlib/stats-base-dists-gumbel-median

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Median

Gumbel distribution median.

The median for a gumbel random variable is

where μ is the location parameter and β is the scale parameter.

Installation

npm install @stdlib/stats-base-dists-gumbel-median

Usage

var median = require( '@stdlib/stats-base-dists-gumbel-median' );

median( mu, beta )

Returns the median for a Gumbel distribution with location parameter mu and scale parameter beta.

var y = median( 2.0, 1.0 );
// returns ~2.367

y = median( 0.0, 1.0 );
// returns ~0.367

y = median( -1.0, 4.0 );
// returns ~0.466

If provided NaN as any argument, the function returns NaN.

var y = median( NaN, 1.0 );
// returns NaN

y = median( 0.0, NaN );
// returns NaN

If provided beta <= 0, the function returns NaN.

var y = median( 0.0, 0.0 );
// returns NaN

y = median( 0.0, -1.0 );
// returns NaN

Examples

var randu = require( '@stdlib/random-base-randu' );
var median = require( '@stdlib/stats-base-dists-gumbel-median' );

var beta;
var mu;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
    mu = ( randu()*10.0 ) - 5.0;
    beta = randu() * 20.0;
    y = median( mu, beta );
    console.log( 'µ: %d, β: %d, Median(X;µ,β): %d', mu.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
}

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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

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License

See LICENSE.

Copyright

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