Press n or j to go to the next uncovered block, b, p or k for the previous block.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 | 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 2x 117x 117x 117x 117x 117x 117x 117x 117x 117x 117x 117x 105x 117x 17x 17x 100x 100x 100x 117x 9313x 9313x 9313x 9313x 9313x 9313x 9313x 117x 100x 117x 2x 2x 2x 2x 2x | /** * @license Apache-2.0 * * Copyright (c) 2018 The Stdlib Authors. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ 'use strict'; // MODULES // var isnan = require( '@stdlib/math/base/assert/is-nan' ); var gamma = require( '@stdlib/math/base/special/gamma' ); var EPS = require( '@stdlib/constants/float64/eps' ); // MAIN // /** * Evaluates the moment-generating function (MGF) for a Weibull distribution with shape `k` and scale `lambda` at a value `t`. * * @param {number} t - input value * @param {PositiveNumber} k - shape parameter * @param {PositiveNumber} lambda - scale parameter * @returns {number} evaluated MGF * * @example * var y = mgf( 1.0, 1.0, 0.5 ); * // returns ~2.0 * * @example * var y = mgf( -1.0, 4.0, 4.0 ); * // returns ~0.019 * * @example * var y = mgf( NaN, 1.0, 1.0 ); * // returns NaN * * @example * var y = mgf( 0.0, NaN, 1.0 ); * // returns NaN * * @example * var y = mgf( 0.0, 1.0, NaN ); * // returns NaN * * @example * var y = mgf( 0.2, -1.0, 0.5 ); * // returns NaN * * @example * var y = mgf( 0.2, 0.0, 0.5 ); * // returns NaN * * @example * var y = mgf( 0.2, 0.5, -1.0 ); * // returns NaN * * @example * var y = mgf( 0.2, 0.5, 0.0 ); * // returns NaN */ function mgf( t, k, lambda ) { var summand; var sum; var c; var n; if ( isnan( t ) || isnan( k ) || isnan( lambda ) || k <= 0.0 || lambda <= 0.0 ) { return NaN; } sum = 1.0; c = 1.0; n = 0; do { n += 1; c *= ( t * lambda ) / n; if ( c === 0.0 ) { summand = 0.0; } else { summand = c * gamma( 1.0 + (n / k) ); } sum += summand; } while ( summand / sum > EPS ); return sum; } // EXPORTS // module.exports = mgf; |