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Weibull distribution.
npm install @stdlib/stats-base-dists-weibull
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var weibull = require( '@stdlib/stats-base-dists-weibull' );
Weibull distribution.
var dist = weibull;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, k, lambda )
: Weibull distribution cumulative distribution function.logcdf( x, k, lambda )
: Weibull distribution logarithm of cumulative distribution function.logpdf( x, k, lambda )
: Weibull distribution logarithm of probability density function (PDF).mgf( t, k, lambda )
: Weibull distribution moment-generating function (MGF).pdf( x, k, lambda )
: Weibull distribution probability density function (PDF).quantile( p, k, lambda )
: Weibull distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( k, lambda )
: Weibull distribution differential entropy.kurtosis( k, lambda )
: Weibull distribution excess kurtosis.mean( k, lambda )
: Weibull distribution expected value.median( k, lambda )
: Weibull distribution median.mode( k, lambda )
: Weibull distribution mode.skewness( k, lambda )
: Weibull distribution skewness.stdev( k, lambda )
: Weibull distribution standard deviation.variance( k, lambda )
: Weibull distribution variance.
The namespace contains a constructor function for creating a Weibull distribution object.
Weibull( [k, lambda] )
: Weibull distribution constructor.
var Weibull = require( '@stdlib/stats-base-dists-weibull' ).Weibull;
var dist = new Weibull( 2.0, 4.0 );
var y = dist.pdf( 0.8 );
// returns ~0.096
var objectKeys = require( '@stdlib/utils-keys' );
var weibull = require( '@stdlib/stats-base-dists-weibull' );
console.log( objectKeys( weibull ) );
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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