mgf.js (2082B)
1 /** 2 * @license Apache-2.0 3 * 4 * Copyright (c) 2018 The Stdlib Authors. 5 * 6 * Licensed under the Apache License, Version 2.0 (the "License"); 7 * you may not use this file except in compliance with the License. 8 * You may obtain a copy of the License at 9 * 10 * http://www.apache.org/licenses/LICENSE-2.0 11 * 12 * Unless required by applicable law or agreed to in writing, software 13 * distributed under the License is distributed on an "AS IS" BASIS, 14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 15 * See the License for the specific language governing permissions and 16 * limitations under the License. 17 */ 18 19 'use strict'; 20 21 // MODULES // 22 23 var isnan = require( '@stdlib/math/base/assert/is-nan' ); 24 var abs = require( '@stdlib/math/base/special/abs' ); 25 var exp = require( '@stdlib/math/base/special/exp' ); 26 var pow = require( '@stdlib/math/base/special/pow' ); 27 28 29 // MAIN // 30 31 /** 32 * Evaluates the moment-generating function (MGF) for a Laplace (double exponential) distribution with location parameter `mu` and scale parameter `b` at a value `t`. 33 * 34 * @param {number} t - input value 35 * @param {number} mu - mean 36 * @param {NonNegativeNumber} b - scale parameter 37 * @returns {number} evaluated MGF 38 * 39 * @example 40 * var y = mgf( 0.5, 0.0, 1.0 ); 41 * // returns ~1.333 42 * 43 * @example 44 * var y = mgf( 0.0, 0.0, 1.0 ); 45 * // returns 1.0 46 * 47 * @example 48 * var y = mgf( -1.0, 4.0, 0.2 ); 49 * // returns ~0.019 50 * 51 * @example 52 * var y = mgf( NaN, 0.0, 1.0 ); 53 * // returns NaN 54 * 55 * @example 56 * var y = mgf( 0.0, NaN, 1.0 ); 57 * // returns NaN 58 * 59 * @example 60 * var y = mgf( 0.0, 0.0, NaN ); 61 * // returns NaN 62 * 63 * @example 64 * var y = mgf( 1.0, 0.0, 2.0 ); 65 * // returns NaN 66 * 67 * @example 68 * var y = mgf( -0.5, 0.0, 4.0 ); 69 * // returns NaN 70 * 71 * @example 72 * var y = mgf( 2.0, 0.0, 0.0 ); 73 * // returns NaN 74 * 75 * @example 76 * var y = mgf( 2.0, 0.0, -1.0 ); 77 * // returns NaN 78 */ 79 function mgf( t, mu, b ) { 80 var bt; 81 if ( 82 isnan( t ) || 83 isnan( mu ) || 84 isnan( b ) || 85 b <= 0.0 || 86 abs( t ) >= 1.0/b 87 ) { 88 return NaN; 89 } 90 bt = b * t; 91 return exp( mu * t ) / ( 1.0 - pow( bt, 2.0 ) ); 92 } 93 94 95 // EXPORTS // 96 97 module.exports = mgf;