time-to-botec/js/node_modules/@stdlib/stats/base/dists/weibull

Weibull

Weibull distribution.

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 ) );