@stdlib/stats-base-dists-frechet-cdf

Fréchet distribution cumulative distribution function (CDF).

Usage no npm install needed!

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README

Cumulative Distribution Function

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Fréchet distribution cumulative distribution function.

The cumulative distribution function for a Fréchet random variable is

Cumulative distribution function for a Fréchet distribution.

where alpha > 0 is the shape, s > 0 the scale, and m the location parameter.

Installation

npm install @stdlib/stats-base-dists-frechet-cdf

Usage

var cdf = require( '@stdlib/stats-base-dists-frechet-cdf' );

cdf( x, alpha, s, m )

Evaluates the cumulative distribution function (CDF) for a Fréchet distribution with shape alpha, scale s, and location m at a value x.

var y = cdf( 10.0, 2.0, 3.0, 5.0 );
// returns ~0.698

y = cdf( -3.0, 1.0, 2.0, -4.0 );
// returns ~0.135

y = cdf( 0.0, 2.0, 1.0, -1.0 );
// returns ~0.368

If provided x <= m, the function returns 0.

var y = cdf( -2.0, 2.0, 1.0, -1.0 );
// returns 0.0

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

var y = cdf( NaN, 1.0, 1.0, 0.0 );
// returns NaN

y = cdf( 0.0, NaN, 1.0, 0.0 );
// returns NaN

y = cdf( 0.0, 1.0, NaN, 0.0);
// returns NaN

y = cdf( 0.0, 1.0, 1.0, NaN );
// returns NaN

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

var y = cdf( 2.0, -0.1, 1.0, 1.0 );
// returns NaN

y = cdf( 2.0, 0.0, 1.0, 1.0 );
// returns NaN

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

var y = cdf( 2.0, 1.0, -1.0, 1.0 );
// returns NaN

y = cdf( 2.0, 1.0, 0.0, 1.0 );
// returns NaN

cdf.factory( alpha, s, m )

Returns a function for evaluating the cumulative distribution function of a Fréchet distribution with shape alpha, scale s, and location m.

var mycdf = cdf.factory( 3.0, 3.0, 5.0 );

var y = mycdf( 10.0 );
// returns ~0.806

y = mycdf( 7.0 );
// returns ~0.034

Examples

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

var alpha;
var m;
var s;
var x;
var y;
var i;

for ( i = 0; i < 100; i++ ) {
    alpha = randu() * 10.0;
    x = randu() * 10.0;
    s = randu() * 10.0;
    m = randu() * 10.0;
    y = cdf( x, alpha, s, m );
    console.log( 'x: %d, α: %d, s: %d, m: %d, F(x;α,s,m): %d', x.toFixed( 4 ), alpha.toFixed( 4 ), s.toFixed( 4 ), m.toFixed( 4 ), y.toFixed( 4 ) );
}

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 © 2016-2022. The Stdlib Authors.