Cosine

Raised cosine distribution constructor.

Usage

var Cosine = require( '@stdlib/stats/base/dists/cosine/ctor' );

Cosine( [mu, s] )

Returns a raised cosine distribution object.

var cosine = new Cosine();

var mu = cosine.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 cosine = new Cosine( 2.0, 4.0 );

var mu = cosine.mean;
// returns 2.0

cosine

A raised cosine distribution object has the following properties and methods...

Writable Properties

cosine.mu

Location parameter of the distribution.

var cosine = new Cosine();

var mu = cosine.mu;
// returns 0.0

cosine.mu = 3.0;

mu = cosine.mu;
// returns 3.0

cosine.s

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

var cosine = new Cosine( 2.0, 4.0 );

var s = cosine.s;
// returns 4.0

cosine.s = 3.0;

s = cosine.s;
// returns 3.0

Computed Properties

Cosine.prototype.kurtosis

Returns the excess kurtosis.

var cosine = new Cosine( 4.0, 12.0 );

var kurtosis = cosine.kurtosis;
// returns ~-0.594

Cosine.prototype.mean

Returns the expected value.

var cosine = new Cosine( 4.0, 12.0 );

var mu = cosine.mean;
// returns 4.0

Cosine.prototype.median

Returns the median.

var cosine = new Cosine( 4.0, 12.0 );

var median = cosine.median;
// returns 4.0

Cosine.prototype.mode

Returns the mode.

var cosine = new Cosine( 4.0, 12.0 );

var mode = cosine.mode;
// returns 4.0

Cosine.prototype.skewness

Returns the skewness.

var cosine = new Cosine( 4.0, 12.0 );

var skewness = cosine.skewness;
// returns 0.0

Cosine.prototype.stdev

Returns the standard deviation.

var cosine = new Cosine( 4.0, 12.0 );

var s = cosine.stdev;
// returns ~4.338

Cosine.prototype.variance

Returns the variance.

var cosine = new Cosine( 4.0, 12.0 );

var s2 = cosine.variance;
// returns ~18.819

Methods

Cosine.prototype.cdf( x )

Evaluates the cumulative distribution function (CDF).

var cosine = new Cosine( 2.0, 4.0 );

var y = cosine.cdf( 0.5 );
// returns ~0.165

Cosine.prototype.logcdf( x )

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

var cosine = new Cosine( 2.0, 4.0 );

var y = cosine.logcdf( 0.5 );
// returns ~-1.799

Cosine.prototype.logpdf( x )

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

var cosine = new Cosine( 2.0, 4.0 );

var y = cosine.logpdf( 0.8 );
// returns ~-1.617

Cosine.prototype.mgf( t )

Evaluates the moment-generating function (MGF).

var cosine = new Cosine( 2.0, 4.0 );

var y = cosine.mgf( 0.2 );
// returns ~1.555

Cosine.prototype.pdf( x )

Evaluates the probability density function (PDF).

var cosine = new Cosine( 2.0, 4.0 );

var y = cosine.pdf( 2.0 );
// returns 0.25

Cosine.prototype.quantile( p )

Evaluates the quantile function at probability p.

var cosine = new Cosine( 2.0, 4.0 );

var y = cosine.quantile( 0.9 );
// returns ~3.929

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

Examples

var Cosine = require( '@stdlib/stats/base/dists/cosine/ctor' );

var cosine = new Cosine( 2.0, 4.0 );

var mean = cosine.mean;
// returns 2.0

var median = cosine.median;
// returns 2.0

var s2 = cosine.variance;
// returns ~2.091

var y = cosine.cdf( 0.8 );
// returns ~0.221
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