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Arcsine distribution cumulative distribution function.
The cumulative distribution function for an arcsine random variable is
where a
is the minimum support and b
is the maximum support. The parameters must satisfy a < b
.
npm install @stdlib/stats-base-dists-arcsine-cdf
var cdf = require( '@stdlib/stats-base-dists-arcsine-cdf' );
Evaluates the cumulative distribution function (CDF) for an arcsine distribution with parameters a
(minimum support) and b
(maximum support).
var y = cdf( 9.0, 0.0, 10.0 );
// returns ~0.795
y = cdf( 0.5, 0.0, 2.0 );
// returns ~0.333
y = cdf( -Infinity, 2.0, 4.0 );
// returns 0.0
y = cdf( +Infinity, 2.0, 4.0 );
// returns 1.0
If provided NaN
as any argument, the function returns NaN
.
var y = cdf( NaN, 0.0, 1.0 );
// returns NaN
y = cdf( 0.0, NaN, 1.0 );
// returns NaN
y = cdf( 0.0, 0.0, NaN );
// returns NaN
If provided a >= b
, the function returns NaN
.
var y = cdf( 1.0, 2.5, 2.0 );
// returns NaN
Returns a function for evaluating the cumulative distribution function of an arcsine distribution with parameters a
(minimum support) and b
(maximum support).
var mycdf = cdf.factory( 0.0, 10.0 );
var y = mycdf( 0.5 );
// returns ~0.144
y = mycdf( 8.0 );
// returns ~0.705
var randu = require( '@stdlib/random-base-randu' );
var cdf = require( '@stdlib/stats-base-dists-arcsine-cdf' );
var a;
var b;
var x;
var y;
var i;
for ( i = 0; i < 25; i++ ) {
x = ( randu()*20.0 ) - 10.0;
a = ( randu()*20.0 ) - 20.0;
b = a + ( randu()*40.0 );
y = cdf( x, a, b );
console.log( 'x: %d, a: %d, b: %d, F(x;a,b): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), y.toFixed( 4 ) );
}
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.
See LICENSE.
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