repl.txt (1416B)
1 2 {{alias}}( x, a, b ) 3 Evaluates the probability density function (PDF) for an arcsine distribution 4 with minimum support `a` and maximum support `b` at a value `x`. 5 6 If provided `NaN` as any argument, the function returns `NaN`. 7 8 If provided `a >= b`, the function returns `NaN`. 9 10 Parameters 11 ---------- 12 x: number 13 Input value. 14 15 a: number 16 Minimum support. 17 18 b: number 19 Maximum support. 20 21 Returns 22 ------- 23 out: number 24 Evaluated PDF. 25 26 Examples 27 -------- 28 > var y = {{alias}}( 2.0, 0.0, 4.0 ) 29 ~0.159 30 > y = {{alias}}( 5.0, 0.0, 4.0 ) 31 0.0 32 > y = {{alias}}( 0.25, 0.0, 1.0 ) 33 ~0.735 34 > y = {{alias}}( NaN, 0.0, 1.0 ) 35 NaN 36 > y = {{alias}}( 0.0, NaN, 1.0 ) 37 NaN 38 > y = {{alias}}( 0.0, 0.0, NaN ) 39 NaN 40 > y = {{alias}}( 2.0, 3.0, 1.0 ) 41 NaN 42 43 44 {{alias}}.factory( a, b ) 45 Returns a function for evaluating the probability density function (PDF) of 46 an arcsine distribution with minimum support `a` and maximum support `b`. 47 48 Parameters 49 ---------- 50 a: number 51 Minimum support. 52 53 b: number 54 Maximum support. 55 56 Returns 57 ------- 58 pdf: Function 59 Probability density function (PDF). 60 61 Examples 62 -------- 63 > var myPDF = {{alias}}.factory( 6.0, 7.0 ); 64 > var y = myPDF( 7.0 ) 65 Infinity 66 > y = myPDF( 5.0 ) 67 0.0 68 69 See Also 70 -------- 71