@stdlib/stats
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Standard library statistical functions.
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{{alias}}( [a, b] )
Returns an arcsine distribution object.
Parameters
----------
a: number (optional)
Minimum support. Must be less than `b`. Default: `0.0`.
b: number (optional)
Maximum support. Must be greater than `a`. Default: `1.0`.
Returns
-------
arcsine: Object
Distribution instance.
arcsine.a: number
Minimum support. If set, the value must be less than `b`.
arcsine.b: number
Maximum support. If set, the value must be greater than `a`.
arcsine.entropy: number
Read-only property which returns the differential entropy.
arcsine.kurtosis: number
Read-only property which returns the excess kurtosis.
arcsine.mean: number
Read-only property which returns the expected value.
arcsine.median: number
Read-only property which returns the median.
arcsine.mode: number
Read-only property which returns the mode.
arcsine.skewness: number
Read-only property which returns the skewness.
arcsine.stdev: number
Read-only property which returns the standard deviation.
arcsine.variance: number
Read-only property which returns the variance.
arcsine.cdf: Function
Evaluates the cumulative distribution function (CDF).
arcsine.logcdf: Function
Evaluates the natural logarithm of the cumulative distribution function
(CDF).
arcsine.logpdf: Function
Evaluates the natural logarithm of the probability density function
(PDF).
arcsine.pdf: Function
Evaluates the probability density function (PDF).
arcsine.quantile: Function
Evaluates the quantile function at probability `p`.
Examples
--------
> var arcsine = {{alias}}( 0.0, 1.0 );
> arcsine.a
0.0
> arcsine.b
1.0
> arcsine.entropy
~-0.242
> arcsine.kurtosis
-1.5
> arcsine.mean
0.5
> arcsine.median
0.5
> arcsine.mode
0.0
> arcsine.skewness
0.0
> arcsine.stdev
~0.354
> arcsine.variance
0.125
> arcsine.cdf( 0.8 )
~0.705
> arcsine.logcdf( 0.8 )
~-0.35
> arcsine.logpdf( 0.4 )
~-0.431
> arcsine.pdf( 0.8 )
~0.796
> arcsine.quantile( 0.8 )
~0.905
See Also
--------