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Exponential distribution constructor.
npm install @stdlib/stats-base-dists-exponential-ctor
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var Exponential = require( '@stdlib/stats-base-dists-exponential-ctor' );
Returns an exponential distribution object.
var exponential = new Exponential();
var mu = exponential.mean;
// returns 1.0
By default, lambda = 1.0
. To create a distribution having a different rate parameter lambda
, provide a parameter value.
var exponential = new Exponential( 4.0 );
var mu = exponential.mean;
// returns 0.25
An exponential distribution object has the following properties and methods...
Rate parameter of the distribution. lambda
must be a positive number.
var exponential = new Exponential( 2.0 );
var lambda = exponential.lambda;
// returns 2.0
exponential.lambda = 3.0;
lambda = exponential.lambda;
// returns 3.0
Returns the differential entropy.
var exponential = new Exponential( 4.0 );
var entropy = exponential.entropy;
// returns ~-0.386
Returns the excess kurtosis.
var exponential = new Exponential( 4.0 );
var kurtosis = exponential.kurtosis;
// returns 6.0
Returns the expected value.
var exponential = new Exponential( 4.0 );
var mu = exponential.mean;
// returns 0.25
Returns the median.
var exponential = new Exponential( 4.0 );
var median = exponential.median;
// returns ~0.173
Returns the mode.
var exponential = new Exponential( 4.0 );
var mode = exponential.mode;
// returns 0.0
Returns the skewness.
var exponential = new Exponential( 4.0 );
var skewness = exponential.skewness;
// returns 2.0
Returns the standard deviation.
var exponential = new Exponential( 4.0 );
var s = exponential.stdev;
// returns 0.25
Returns the variance.
var exponential = new Exponential( 4.0 );
var s2 = exponential.variance;
// returns ~0.063
Evaluates the cumulative distribution function (CDF).
var exponential = new Exponential( 2.0 );
var y = exponential.cdf( 0.5 );
// returns ~0.632
Evaluates the natural logarithm of the cumulative distribution function (CDF).
var exponential = new Exponential( 2.0 );
var y = exponential.logcdf( 0.5 );
// returns ~-0.459
Evaluates the natural logarithm of the probability density function (PDF).
var exponential = new Exponential( 2.0 );
var y = exponential.logpdf( 0.8 );
// returns ~-0.907
Evaluates the moment-generating function (MGF).
var exponential = new Exponential( 2.0 );
var y = exponential.mgf( 0.5 );
// returns ~1.333
Evaluates the probability density function (PDF).
var exponential = new Exponential( 2.0 );
var y = exponential.pdf( 0.8 );
// returns ~0.404
Evaluates the quantile function at probability p
.
var exponential = new Exponential( 2.0 );
var y = exponential.quantile( 0.5 );
// returns ~0.347
y = exponential.quantile( 1.9 );
// returns NaN
var Exponential = require( '@stdlib/stats-base-dists-exponential-ctor' );
var exponential = new Exponential( 2.0 );
var mu = exponential.mean;
// returns 0.5
var mode = exponential.mode;
// returns 0.0
var s2 = exponential.variance;
// returns 0.25
var y = exponential.cdf( 0.8 );
// returns ~0.798
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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