Erlang
Erlang distribution constructor.
Usage
var Erlang = require( '@stdlib/stats/base/dists/erlang/ctor' );
Erlang( [k, lambda] )
Returns an Erlang distribution object.
var erlang = new Erlang();
var mode = erlang.mode;
// returns 0.0
By default, k = 1.0
and lambda = 1.0
. To create a distribution having a different k
(shape parameter) and lambda
(rate parameter), provide the corresponding arguments.
var erlang = new Erlang( 2, 4.0 );
var mode = erlang.mode;
// returns 0.25
erlang
An Erlang distribution object has the following properties and methods...
Writable Properties
erlang.k
Shape parameter of the distribution. k
must be a positive integer.
var erlang = new Erlang();
var k = erlang.k;
// returns 1.0
erlang.k = 3.0;
k = erlang.k;
// returns 3.0
erlang.lambda
Rate parameter of the distribution. lambda
must be a positive number.
var erlang = new Erlang( 2, 4.0 );
var lambda = erlang.lambda;
// returns 4.0
erlang.lambda = 3.0;
lambda = erlang.lambda;
// returns 3.0
Computed Properties
Erlang.prototype.entropy
Returns the differential entropy.
var erlang = new Erlang( 4, 12.0 );
var entropy = erlang.entropy;
// returns ~-0.462
Erlang.prototype.kurtosis
Returns the excess kurtosis.
var erlang = new Erlang( 4, 12.0 );
var kurtosis = erlang.kurtosis;
// returns 1.5
Erlang.prototype.mean
Returns the expected value.
var erlang = new Erlang( 4, 12.0 );
var mu = erlang.mean;
// returns ~0.333
Erlang.prototype.mode
Returns the mode.
var erlang = new Erlang( 4, 12.0 );
var mode = erlang.mode;
// returns 0.25
Erlang.prototype.skewness
Returns the skewness.
var erlang = new Erlang( 4, 12.0 );
var skewness = erlang.skewness;
// returns 1.0
Erlang.prototype.stdev
Returns the standard deviation.
var erlang = new Erlang( 4, 12.0 );
var s = erlang.stdev;
// returns ~0.167
Erlang.prototype.variance
Returns the variance.
var erlang = new Erlang( 4, 12.0 );
var s2 = erlang.variance;
// returns ~0.028
Methods
Erlang.prototype.cdf( x )
Evaluates the cumulative distribution function (CDF).
var erlang = new Erlang( 2, 4.0 );
var y = erlang.cdf( 0.5 );
// returns ~0.594
Erlang.prototype.logpdf( x )
Evaluates the natural logarithm of the probability density function (PDF).
var erlang = new Erlang( 2, 4.0 );
var y = erlang.logpdf( 0.8 );
// returns ~-0.65
Erlang.prototype.mgf( t )
Evaluates the moment-generating function (MGF).
var erlang = new Erlang( 2, 4.0 );
var y = erlang.mgf( 0.5 );
// returns ~1.306
Erlang.prototype.pdf( x )
Evaluates the probability density function (PDF).
var erlang = new Erlang( 2, 4.0 );
var y = erlang.pdf( 0.8 );
// returns ~0.522
Erlang.prototype.quantile( p )
Evaluates the quantile function at probability p
.
var erlang = new Erlang( 2, 4.0 );
var y = erlang.quantile( 0.5 );
// returns ~0.42
y = erlang.quantile( 1.9 );
// returns NaN
Examples
var Erlang = require( '@stdlib/stats/base/dists/erlang/ctor' );
var erlang = new Erlang( 2, 4.0 );
var mu = erlang.mean;
// returns 0.5
var mode = erlang.mode;
// returns 0.25
var s2 = erlang.variance;
// returns 0.125
var y = erlang.cdf( 0.8 );
// returns ~0.829