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 ) );