repl.txt (1541B)
1 2 {{alias}}( x, k, λ ) 3 Evaluates the moment-generating function (MGF) for a Weibull distribution 4 with shape parameter `k` and scale parameter `λ` at a value `t`. 5 6 If provided `NaN` as any argument, the function returns `NaN`. 7 8 If provided a non-positive value for `λ` or `k`, the function returns `NaN`. 9 10 Parameters 11 ---------- 12 x: number 13 Input value. 14 15 k: number 16 Shape parameter. 17 18 λ: number 19 Scale parameter. 20 21 Returns 22 ------- 23 out: number 24 Evaluated MGF. 25 26 Examples 27 -------- 28 > var y = {{alias}}( 1.0, 1.0, 0.5 ) 29 ~2.0 30 > y = {{alias}}( -1.0, 4.0, 4.0 ) 31 ~0.019 32 33 > y = {{alias}}( NaN, 1.0, 1.0 ) 34 NaN 35 > y = {{alias}}( 0.0, NaN, 1.0 ) 36 NaN 37 > y = {{alias}}( 0.0, 1.0, NaN ) 38 NaN 39 40 > y = {{alias}}( 0.2, -1.0, 0.5 ) 41 NaN 42 > y = {{alias}}( 0.2, 0.0, 0.5 ) 43 NaN 44 45 > y = {{alias}}( 0.2, 0.5, -1.0 ) 46 NaN 47 > y = {{alias}}( 0.2, 0.5, 0.0 ) 48 NaN 49 50 51 {{alias}}.factory( k, λ ) 52 Returns a function for evaluating the moment-generating function (MGF) of a 53 Weibull distribution with shape parameter `k` and scale parameter `λ`. 54 55 Parameters 56 ---------- 57 k: number 58 Shape parameter. 59 60 λ: number 61 Scale parameter. 62 63 Returns 64 ------- 65 mgf: Function 66 Moment-generating function (MGF). 67 68 Examples 69 -------- 70 > var myMGF = {{alias}}.factory( 8.0, 10.0 ); 71 > var y = myMGF( 0.8 ) 72 ~3150.149 73 > y = myMGF( 0.08 ) 74 ~2.137 75 76 See Also 77 -------- 78