Package Exports

@stdlib/stats-base-dists-weibull
@stdlib/stats-base-dists-weibull/dist
@stdlib/stats-base-dists-weibull/dist/index.js
@stdlib/stats-base-dists-weibull/lib/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/stats-base-dists-weibull) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

About stdlib...

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The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

Weibull

Weibull distribution.

Installation

npm install @stdlib/stats-base-dists-weibull

Usage

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

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

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var weibull = require( '@stdlib/stats-base-dists-weibull' );

console.log( objectKeys( weibull ) );

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.

@stdlib/stats-base-dists-weibull