kurtosis.js (2142B)
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 gamma = require( '@stdlib/math/base/special/gamma' ); 25 var pow = require( '@stdlib/math/base/special/pow' ); 26 var PINF = require( '@stdlib/constants/float64/pinf' ); 27 28 29 // MAIN // 30 31 /** 32 * Returns the excess kurtosis for a Fréchet distribution with shape `alpha`, scale `s`, and location `m`. 33 * 34 * @param {PositiveNumber} alpha - shape parameter 35 * @param {PositiveNumber} s - scale parameter 36 * @param {number} m - location parameter 37 * @returns {number} excess kurtosis 38 * 39 * @example 40 * var y = kurtosis( 5.0, 2.0, 0.0 ); 41 * // returns ~45.092 42 * 43 * @example 44 * var y = kurtosis( 5.0, 2.0, -5.0 ); 45 * // returns ~45.092 46 * 47 * @example 48 * var y = kurtosis( 3.8, 1.0, 0.0 ); 49 * // returns Infinity 50 * 51 * @example 52 * var y = kurtosis( NaN, 1.0, 0.0 ); 53 * // returns NaN 54 * 55 * @example 56 * var y = kurtosis( 1.0, NaN, 0.0 ); 57 * // returns NaN 58 * 59 * @example 60 * var y = kurtosis( 1.0, 1.0, NaN ); 61 * // returns NaN 62 */ 63 function kurtosis( alpha, s, m ) { 64 var out; 65 var g1; 66 var g2; 67 var g3; 68 var g4; 69 if ( 70 isnan( alpha ) || 71 isnan( s ) || 72 isnan( m ) || 73 alpha <= 0.0 || 74 s <= 0.0 75 ) { 76 return NaN; 77 } 78 if ( alpha <= 4.0 ) { 79 // Case: 0 < alpha <= 4 80 return PINF; 81 } 82 g1 = gamma( 1.0 - ( 1.0/alpha ) ); 83 g2 = gamma( 1.0 - ( 2.0/alpha ) ); 84 g3 = gamma( 1.0 - ( 3.0/alpha ) ); 85 g4 = gamma( 1.0 - ( 4.0/alpha ) ); 86 out = ( g4 - ( 4.0*g3*g1 ) + ( 3.0*g2*g2 ) ) / pow( g2 - ( g1*g1 ), 2.0 ); 87 out -= 6.0; 88 return out; 89 } 90 91 92 // EXPORTS // 93 94 module.exports = kurtosis;