Logarithm of Probability Density Function

Arcsine distribution logarithm of probability density function (PDF).

The probability density function (PDF) for a arcsine random variable is

where a is the minimum support and b is the maximum support of the distribution. The parameters must satisfy a < b.

Installation

npm install @stdlib/stats-base-dists-arcsine-logpdf

Usage

var logpdf = require( '@stdlib/stats-base-dists-arcsine-logpdf' );

logpdf( x, a, b )

Evaluates the logarithm of the probability density function (PDF) for an arcsine distribution with parameters a (minimum support) and b (maximum support).

var y = logpdf( 2.0, 0.0, 4.0 );
// returns ~-1.838

y = logpdf( 5.0, 0.0, 4.0 );
// returns -Infinity

y = logpdf( 0.25, 0.0, 1.0 );
// returns ~-0.308

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

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

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

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

If provided a >= b, the function returns NaN.

var y = logpdf( 2.5, 3.0, 2.0 );
// returns NaN

y = logpdf( 2.5, 3.0, 3.0 );
// returns NaN

logpdf.factory( a, b )

Returns a function for evaluating the logarithm of the PDF for an arcsine distribution with parameters a (minimum support) and b (maximum support).

var mylogPDF = logpdf.factory( 6.0, 7.0 );
var y = mylogPDF( 7.0 );
// returns Infinity

y = mylogPDF( 5.0 );
// returns -Infinity

Notes

• In virtually all cases, using the logpdf or logcdf functions is preferable to manually computing the logarithm of the pdf or cdf, respectively, since the latter is prone to overflow and underflow.

Examples

var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var logpdf = require( '@stdlib/stats-base-dists-arcsine-logpdf' );

var opts = {
    'dtype': 'float64'
};
var x = uniform( 25, -10.0, 10.0, opts );
var a = uniform( x.length, -20.0, 0.0, opts );
var b = uniform( x.length, 0.0, 40.0, opts );

logEachMap( 'x: %0.4f, a: %0.4f, b: %0.4f, ln(f(x;a,b)): %0.4f', x, a, b, logpdf );

C APIs

Usage

#include "stdlib/stats/base/dists/arcsine/logpdf.h"

stdlib_base_dists_arcsine_logpdf( x, a, b )

Evaluates the logarithm of the probability density function (PDF) for an arcsine distribution.

double out = stdlib_base_dists_arcsine_logpdf( 2.0, 0.0, 4.0 );
// returns ~-1.838

The function accepts the following arguments:

• x: [in] double input value.
• a: [in] double minimum support.
• b: [in] double maximum support.

double stdlib_base_dists_arcsine_logpdf( const double x, const double a, const double b );

Examples

#include "stdlib/stats/base/dists/arcsine/logpdf.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 x;
    double a;
    double b;
    double y;
    int i;

    for ( i = 0; i < 25; i++ ) {
        x = random_uniform( -10.0, 10.0 );
        a = random_uniform( -20.0, 0.0 );
        b = random_uniform( a, a+40.0 );
        y = stdlib_base_dists_arcsine_logpdf( x, a, b );
        printf( "x: %lf, a: %lf, b: %lf, ln(f(x;a,b)): %lf\n", x, a, b, 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.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2026. The Stdlib Authors.