@stdlib/stats-base-dists-lognormal-ctor
v0.2.2
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Lognormal distribution constructor.
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Lognormal
Lognormal distribution constructor.
Installation
npm install @stdlib/stats-base-dists-lognormal-ctor
Usage
var LogNormal = require( '@stdlib/stats-base-dists-lognormal-ctor' );
LogNormal( [mu, sigma] )
Returns a lognormal distribution object.
var lognormal = new LogNormal();
var mean = lognormal.mean;
// returns ~1.649
By default, mu = 0.0
and sigma = 1.0
. To create a distribution having a different mu
(location parameter) and sigma
(scale parameter), provide the corresponding arguments.
var lognormal = new LogNormal( 2.0, 4.0 );
var mu = lognormal.mean;
// returns ~22026.466
lognormal
A lognormal distribution object has the following properties and methods...
Writable Properties
lognormal.mu
Location parameter of the distribution.
var lognormal = new LogNormal();
var mu = lognormal.mu;
// returns 0.0
lognormal.mu = 3.0;
mu = lognormal.mu;
// returns 3.0
lognormal.sigma
Scale parameter of the distribution. sigma
must be a positive number.
var lognormal = new LogNormal( 2.0, 4.0 );
var sigma = lognormal.sigma;
// returns 4.0
lognormal.sigma = 3.0;
sigma = lognormal.sigma;
// returns 3.0
Computed Properties
LogNormal.prototype.entropy
Returns the differential entropy.
var lognormal = new LogNormal( 4.0, 12.0 );
var entropy = lognormal.entropy;
// returns ~7.904
LogNormal.prototype.kurtosis
Returns the excess kurtosis.
var lognormal = new LogNormal( 4.0, 12.0 );
var kurtosis = lognormal.kurtosis;
// returns 1.4243659274306933e+250
LogNormal.prototype.mean
Returns the expected value.
var lognormal = new LogNormal( 4.0, 12.0 );
var mu = lognormal.mean;
// returns 1.0148003881138887e+33
LogNormal.prototype.median
Returns the median.
var lognormal = new LogNormal( 4.0, 12.0 );
var median = lognormal.median;
// returns ~54.598
LogNormal.prototype.mode
Returns the mode.
var lognormal = new LogNormal( 4.0, 12.0 );
var mode = lognormal.mode;
// returns 1.580420060273613e-61
LogNormal.prototype.skewness
Returns the skewness.
var lognormal = new LogNormal( 4.0, 12.0 );
var skewness = lognormal.skewness;
// returns 6.421080152185613e+93
LogNormal.prototype.stdev
Returns the standard deviation.
var lognormal = new LogNormal( 4.0, 12.0 );
var s = lognormal.stdev;
// returns 1.886180808490652e+64
LogNormal.prototype.variance
Returns the variance.
var lognormal = new LogNormal( 4.0, 12.0 );
var s2 = lognormal.variance;
// returns 3.55767804231845e+128
Methods
LogNormal.prototype.cdf( x )
Evaluates the cumulative distribution function (CDF).
var lognormal = new LogNormal( 2.0, 4.0 );
var y = lognormal.cdf( 0.5 );
// returns ~0.25
LogNormal.prototype.logcdf( x )
Evaluates the natural logarithm of the cumulative distribution function (CDF).
var lognormal = new LogNormal( 0.0, 1.0 );
var y = lognormal.logcdf( 2.0 );
// returns ~-0.2799
LogNormal.prototype.logpdf( x )
Evaluates the natural logarithm of the probability density function (PDF).
var lognormal = new LogNormal( 2.0, 4.0 );
var y = lognormal.logpdf( 2.0 );
// returns ~-3.052
LogNormal.prototype.pdf( x )
Evaluates the probability density function (PDF).
var lognormal = new LogNormal( 2.0, 4.0 );
var y = lognormal.pdf( 2.0 );
// returns ~0.047
LogNormal.prototype.quantile( p )
Evaluates the quantile function at probability p
.
var lognormal = new LogNormal( 2.0, 4.0 );
var y = lognormal.quantile( 0.5 );
// returns ~7.389
y = lognormal.quantile( 1.9 );
// returns NaN
Examples
var LogNormal = require( '@stdlib/stats-base-dists-lognormal-ctor' );
var lognormal = new LogNormal( 2.0, 1.0 );
var mean = lognormal.mean;
// returns ~12.182
var median = lognormal.median;
// returns ~7.389
var s2 = lognormal.variance;
// returns ~255.016
var y = lognormal.cdf( 0.8 );
// returns ~0.013
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.
Copyright
Copyright © 2016-2024. The Stdlib Authors.