repl.txt (1550B)
1 2 {{alias}}( x, k, λ ) 3 Evaluates the cumulative distribution function (CDF) for a Weibull 4 distribution with shape parameter `k` and scale parameter `λ` at a value 5 `x`. 6 7 If provided `NaN` as any argument, the function returns `NaN`. 8 9 If provided a non-positive value for `λ` or `k`, the function returns `NaN`. 10 11 Parameters 12 ---------- 13 x: number 14 Input value. 15 16 k: number 17 Shape parameter. 18 19 λ: number 20 Scale parameter. 21 22 Returns 23 ------- 24 out: number 25 Evaluated CDF. 26 27 Examples 28 -------- 29 > var y = {{alias}}( 2.0, 1.0, 1.0 ) 30 ~0.865 31 > y = {{alias}}( -1.0, 2.0, 2.0 ) 32 0.0 33 > y = {{alias}}( {{alias:@stdlib/constants/float64/pinf}}, 4.0, 2.0 ) 34 1.0 35 > y = {{alias}}( {{alias:@stdlib/constants/float64/ninf}}, 4.0, 2.0 ) 36 0.0 37 > y = {{alias}}( NaN, 0.0, 1.0 ) 38 NaN 39 > y = {{alias}}( 0.0, NaN, 1.0 ) 40 NaN 41 > y = {{alias}}( 0.0, 0.0, NaN ) 42 NaN 43 > y = {{alias}}( 2.0, 0.0, -1.0 ) 44 NaN 45 46 47 {{alias}}.factory( k, λ ) 48 Returns a function for evaluating the cumulative distribution function (CDF) 49 of a Weibull distribution with shape parameter `k` and scale parameter `λ`. 50 51 Parameters 52 ---------- 53 k: number 54 Shape parameter. 55 56 λ: number 57 Scale parameter. 58 59 Returns 60 ------- 61 cdf: Function 62 Cumulative distribution function (CDF). 63 64 Examples 65 -------- 66 > var myCDF = {{alias}}.factory( 2.0, 10.0 ); 67 > var y = myCDF( 12.0 ) 68 ~0.763 69 70 See Also 71 -------- 72