@stdlib/stats-base-dists-rayleigh-pdf v0.2.2
Probability Density Function
Rayleigh distribution probability density function (PDF).
The probability density function (PDF) for a Rayleigh random variable is
where sigma > 0 is the scale parameter.
Installation
npm install @stdlib/stats-base-dists-rayleigh-pdfUsage
var pdf = require( '@stdlib/stats-base-dists-rayleigh-pdf' );pdf( x, sigma )
Evaluates the probability density function for a Rayleigh distribution with scale parameter sigma.
var y = pdf( 0.3, 1.0 );
// returns ~0.287
y = pdf( 2.0, 0.8 );
// returns ~0.137
y = pdf( -1.0, 0.5 );
// returns 0.0If provided NaN as any argument, the function returns NaN.
var y = pdf( NaN, 1.0 );
// returns NaN
y = pdf( 0.0, NaN );
// returns NaNIf provided sigma < 0, the function returns NaN.
var y = pdf( 2.0, -1.0 );
// returns NaNIf provided sigma = 0, the function evaluates the PDF of a degenerate distribution centered at 0.
var y = pdf( -2.0, 0.0 );
// returns 0.0
y = pdf( 0.0, 0.0 );
// returns Infinity
y = pdf( 2.0, 0.0 );
// returns 0.0pdf.factory( sigma )
Returns a function for evaluating the probability density function (PDF) of a Rayleigh distribution with parameter sigma (scale parameter).
var myPDF = pdf.factory( 4.0 );
var y = myPDF( 6.0 );
// returns ~0.122
y = myPDF( 4.0 );
// returns ~0.152Examples
var randu = require( '@stdlib/random-base-randu' );
var pdf = require( '@stdlib/stats-base-dists-rayleigh-pdf' );
var sigma;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
    x = randu() * 10.0;
    sigma = randu() * 10.0;
    y = pdf( x, sigma );
    console.log( 'x: %d, σ: %d, f(x;σ): %d', x.toFixed( 4 ), sigma.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
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