1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73
|
{{alias}}( x, a, b )
Evaluates the logarithm of the probability density function (PDF) for a
uniform distribution with minimum support `a` and maximum support `b` at a
value `x`.
If provided `NaN` as any argument, the function returns `NaN`.
If provided `a >= b`, the function returns `NaN`.
Parameters
----------
x: number
Input value.
a: number
Minimum support.
b: number
Maximum support.
Returns
-------
out: number
Evaluated logPDF.
Examples
--------
> var y = {{alias}}( 2.0, 0.0, 4.0 )
~-1.386
> y = {{alias}}( 5.0, 0.0, 4.0 )
-infinity
> y = {{alias}}( 0.25, 0.0, 1.0 )
0.0
> y = {{alias}}( NaN, 0.0, 1.0 )
NaN
> y = {{alias}}( 0.0, NaN, 1.0 )
NaN
> y = {{alias}}( 0.0, 0.0, NaN )
NaN
> y = {{alias}}( 2.0, 3.0, 1.0 )
NaN
{{alias}}.factory( a, b )
Returns a function for evaluating the logarithm of the probability density
function (PDF) of a uniform distribution with minimum support `a` and
maximum support `b`.
Parameters
----------
a: number
Minimum support.
b: number
Maximum support.
Returns
-------
logpdf: Function
Logarithm of probability density function (PDF).
Examples
--------
> var mylogPDF = {{alias}}.factory( 6.0, 7.0 );
> var y = mylogPDF( 7.0 )
0.0
> y = mylogPDF( 5.0 )
-infinity
See Also
--------
|