@stdlib/stats-base-dists-weibull-stdev
v0.2.2
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Weibull distribution standard deviation.
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Standard Deviation
Weibull distribution standard deviation.
The standard deviation for a Weibull random variable is
where λ > 0
is the shape parameter, k > 0
is the scale parameter, and Γ
denotes the gamma function.
Installation
npm install @stdlib/stats-base-dists-weibull-stdev
Usage
var stdev = require( '@stdlib/stats-base-dists-weibull-stdev' );
stdev( k, lambda )
Returns the standard deviation of a Weibull distribution with parameters k
(shape parameter) and lambda
(scale parameter).
var v = stdev( 1.0, 1.0 );
// returns 1.0
v = stdev( 4.0, 12.0 );
// returns ~3.051
v = stdev( 8.0, 2.0 );
// returns ~0.279
If provided NaN
as any argument, the function returns NaN
.
var v = stdev( NaN, 2.0 );
// returns NaN
v = stdev( 2.0, NaN );
// returns NaN
If provided k <= 0
, the function returns NaN
.
var v = stdev( 0.0, 1.0 );
// returns NaN
v = stdev( -1.0, 1.0 );
// returns NaN
If provided lambda <= 0
, the function returns NaN
.
var v = stdev( 1.0, 0.0 );
// returns NaN
v = stdev( 1.0, -1.0 );
// returns NaN
Examples
var randu = require( '@stdlib/random-base-randu' );
var EPS = require( '@stdlib/constants-float64-eps' );
var stdev = require( '@stdlib/stats-base-dists-weibull-stdev' );
var lambda;
var k;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
k = ( randu()*10.0 ) + EPS;
lambda = ( randu()*10.0 ) + EPS;
v = stdev( k, lambda );
console.log( 'k: %d, λ: %d, SD(X;k,λ): %d', k.toFixed( 4 ), lambda.toFixed( 4 ), v.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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.