Logistic

Usage

var Logistic = require( '@stdlib/stats/base/dists/logistic/ctor' );

Logistic( [mu, s] )

Returns a logistic distribution object.

var logistic = new Logistic();

var mu = logistic.mean;
// returns 0.0

By default, mu = 0.0 and s = 1.0. To create a distribution having a different mu (location parameter) and s (scale parameter), provide the corresponding arguments.

var logistic = new Logistic( 2.0, 4.0 );

var mu = logistic.mean;
// returns 2.0

logistic

A logistic distribution object has the following properties and methods...

Writable Properties

logistic.mu

Location parameter of the distribution.

var logistic = new Logistic();

var mu = logistic.mu;
// returns 0.0

logistic.mu = 3.0;

mu = logistic.mu;
// returns 3.0

logistic.s

Scale parameter of the distribution. s must be a positive number.

var logistic = new Logistic( 2.0, 4.0 );

var s = logistic.s;
// returns 4.0

logistic.s = 3.0;

s = logistic.s;
// returns 3.0

Computed Properties

Logistic.prototype.entropy

Returns the differential entropy.

var logistic = new Logistic( 4.0, 12.0 );

var entropy = logistic.entropy;
// returns ~4.485

Logistic.prototype.kurtosis

Returns the excess kurtosis.

var logistic = new Logistic( 4.0, 12.0 );

var kurtosis = logistic.kurtosis;
// returns 1.2

Logistic.prototype.mean

Returns the expected value.

var logistic = new Logistic( 4.0, 12.0 );

var mu = logistic.mean;
// returns 4.0

Logistic.prototype.median

Returns the median.

var logistic = new Logistic( 4.0, 12.0 );

var median = logistic.median;
// returns 4.0

Logistic.prototype.mode

Returns the mode.

var logistic = new Logistic( 4.0, 12.0 );

var mode = logistic.mode;
// returns 4.0

Logistic.prototype.skewness

Returns the skewness.

var logistic = new Logistic( 4.0, 12.0 );

var skewness = logistic.skewness;
// returns 0.0

Logistic.prototype.stdev

Returns the standard deviation.

var logistic = new Logistic( 4.0, 12.0 );

var s = logistic.stdev;
// returns ~21.766

Logistic.prototype.variance

Returns the variance.

var logistic = new Logistic( 4.0, 12.0 );

var s2 = logistic.variance;
// returns ~473.741

Methods

Logistic.prototype.cdf( x )

Evaluates the cumulative distribution function (CDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.cdf( 0.5 );
// returns ~0.407

Logistic.prototype.logcdf( x )

Evaluates the natural logarithm of the cumulative distribution function (CDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.logcdf( 2.0 );
// returns ~-0.693

Logistic.prototype.logpdf( x )

Evaluates the natural logarithm of the probability density function (PDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.logpdf( 0.8 );
// returns ~-2.795

Logistic.prototype.mgf( t )

Evaluates the moment-generating function (MGF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.mgf( 0.2 );
// returns ~6.379

Logistic.prototype.pdf( x )

Evaluates the probability density function (PDF).

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.pdf( 2.0 );
// returns 0.0625

Logistic.prototype.quantile( p )

Evaluates the quantile function at probability p.

var logistic = new Logistic( 2.0, 4.0 );

var y = logistic.quantile( 0.5 );
// returns 2.0

y = logistic.quantile( 1.9 );
// returns NaN