repl.txt (1718B)
1 2 {{alias}}( x, a, b ) 3 Evaluates the cumulative distribution function (CDF) for Kumaraswamy's 4 double bounded distribution with first shape parameter `a` and second shape 5 parameter `b` at a value `x`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If `a <= 0` or `b <= 0`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 a: number 17 First shape parameter. 18 19 b: number 20 Second shape parameter. 21 22 Returns 23 ------- 24 out: number 25 Evaluated CDF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 0.5, 1.0, 1.0 ) 30 ~0.5 31 > y = {{alias}}( 0.5, 2.0, 4.0 ) 32 ~0.684 33 > y = {{alias}}( 0.2, 2.0, 2.0 ) 34 ~0.078 35 > y = {{alias}}( 0.8, 4.0, 4.0 ) 36 ~0.878 37 > y = {{alias}}( -0.5, 4.0, 2.0 ) 38 0.0 39 > y = {{alias}}( 1.5, 4.0, 2.0 ) 40 1.0 41 42 > y = {{alias}}( 2.0, -1.0, 0.5 ) 43 NaN 44 > y = {{alias}}( 2.0, 0.5, -1.0 ) 45 NaN 46 47 > y = {{alias}}( NaN, 1.0, 1.0 ) 48 NaN 49 > y = {{alias}}( 0.0, NaN, 1.0 ) 50 NaN 51 > y = {{alias}}( 0.0, 1.0, NaN ) 52 NaN 53 54 55 {{alias}}.factory( a, b ) 56 Returns a function for evaluating the cumulative distribution function (CDF) 57 of a Kumaraswamy's double bounded distribution with first shape parameter 58 `a` and second shape parameter `b`. 59 60 Parameters 61 ---------- 62 a: number 63 First shape parameter. 64 65 b: number 66 Second shape parameter. 67 68 Returns 69 ------- 70 cdf: Function 71 Cumulative distribution function (CDF). 72 73 Examples 74 -------- 75 > var mycdf = {{alias}}.factory( 0.5, 1.0 ); 76 > var y = mycdf( 0.8 ) 77 ~0.894 78 > y = mycdf( 0.3 ) 79 ~0.548 80 81 See Also 82 -------- 83