repl.txt (1634B)
1 2 {{alias}}( t, k, λ ) 3 Evaluates the moment-generating function (MGF) for an Erlang distribution 4 with shape parameter `k` and rate parameter `λ` at a value `t`. 5 6 If provided `NaN` as any argument, the function returns `NaN`. 7 8 If not provided a nonnegative integer for `k`, the function returns `NaN`. 9 10 If provided a non-positive value for `λ`, the function returns `NaN`. 11 12 Parameters 13 ---------- 14 t: number 15 Input value. 16 17 k: number 18 Shape parameter. 19 20 λ: number 21 Rate parameter. 22 23 Returns 24 ------- 25 out: number 26 Evaluated MGF. 27 28 Examples 29 -------- 30 > var y = {{alias}}( 0.3, 1, 1.0 ) 31 ~1.429 32 > y = {{alias}}( 2.0, 2, 3.0 ) 33 ~9.0 34 > y = {{alias}}( -1.0, 2, 2.0 ) 35 ~0.444 36 37 > y = {{alias}}( NaN, 1, 1.0 ) 38 NaN 39 > y = {{alias}}( 0.0, NaN, 1.0 ) 40 NaN 41 > y = {{alias}}( 0.0, 1, NaN ) 42 NaN 43 44 > y = {{alias}}( 0.2, -2, 0.5 ) 45 NaN 46 > y = {{alias}}( 0.2, 0.5, 0.5 ) 47 NaN 48 49 > y = {{alias}}( 0.2, 1, 0.0 ) 50 NaN 51 > y = {{alias}}( 0.2, 1, -5.0 ) 52 NaN 53 54 55 {{alias}}.factory( k, λ ) 56 Returns a function for evaluating the moment-generating function (MGF) of an 57 Erlang distribution with shape parameter `k` and rate parameter `λ`. 58 59 Parameters 60 ---------- 61 k: number 62 Shape parameter. 63 64 λ: number 65 Rate parameter. 66 67 Returns 68 ------- 69 mgf: Function 70 Moment-generating function (MGF). 71 72 Examples 73 -------- 74 > var myMGF = {{alias}}.factory( 2, 0.5 ); 75 > var y = myMGF( 0.2 ) 76 ~2.778 77 > y = myMGF( -0.5 ) 78 0.25 79 80 See Also 81 -------- 82