Cosine
Raised cosine distribution.
Usage
var cosine = require( '@stdlib/stats/base/dists/cosine' );
cosine
Raised cosine distribution.
var dist = cosine;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, mu, s )
: raised cosine distribution cumulative distribution function.logcdf( x, mu, s )
: evaluate the natural logarithm of the cumulative distribution function (CDF) for a raised cosine distribution.logpdf( x, mu, s )
: raised cosine distribution logarithm of probability density function (PDF).mgf( t, mu, s )
: raised cosine distribution moment-generating function.pdf( x, mu, s )
: raised cosine distribution probability density function (PDF).quantile( p, mu, s )
: raised cosine distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
kurtosis( mu, s )
: raised cosine distribution excess kurtosis.mean( mu, s )
: raised cosine distribution expected value.median( mu, s )
: raised cosine distribution median.mode( mu, s )
: raised cosine distribution mode.skewness( mu, s )
: raised cosine distribution skewness.stdev( mu, s )
: raised cosine distribution standard deviation.variance( mu, s )
: raised cosine distribution variance.
The namespace contains a constructor function for creating a raised cosine distribution object.
Cosine( [mu, s] )
: raised cosine distribution constructor.
var Cosine = require( '@stdlib/stats/base/dists/cosine' ).Cosine;
var dist = new Cosine( 2.0, 4.0 );
var y = dist.cdf( 0.5 );
// returns ~0.165
Examples
var cosine = require( '@stdlib/stats/base/dists/cosine' );
// Create a raised cosine distribution:
var mu = 2.0;
var s = 1.5;
var dist = new cosine.Cosine( mu, s );
// Calculate various distribution properties:
console.log( 'Mean: %d', dist.mean );
// => 'Mean: 2'
console.log( 'Median: %d', dist.median );
// => 'Median: 2'
console.log( 'Mode: %d', dist.mode );
// => 'Mode: 2'
console.log( 'Standard Deviation: %d', dist.stdev );
// => 'Standard Deviation: 0.5422680827869919'
console.log( 'Variance: %d', dist.variance );
// => 'Variance: 0.29405467360947996'
// Evaluate the probability density function (PDF):
var x = 1.5;
console.log( 'PDF( %d ): %d', x, dist.pdf( x ) );
// => 'PDF( 1.5 ): 0.5'
// Evaluate the cumulative distribution function (CDF):
console.log( 'CDF( %d ): %d', x, dist.cdf( x ) );
// => 'CDF( 1.5 ): 0.19550110947788535'
// Calculate distribution moments:
console.log( 'Skewness: %d', cosine.skewness( mu, s ) );
// => 'Skewness: 0'
console.log( 'Excess Kurtosis: %d', cosine.kurtosis( mu, s ) );
// => 'Excess Kurtosis: -0.5937628755982807'