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 | 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 3013x 3013x 3013x 3013x 3013x 3013x 3013x 3004x 3013x 13x 13x 3000x 3013x 2x 2x 2x 2x 2x | /** * @license Apache-2.0 * * Copyright (c) 2025 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 pow = require( '@stdlib/math/base/special/pow' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); // MAIN // /** * Evaluates the cumulative distribution function (CDF) for a Burr (type III) distribution with first shape parameter `c` and second shape parameter `d` at a value `x`. * * @param {number} x - input value * @param {PositiveNumber} c - first shape parameter * @param {PositiveNumber} d - second shape parameter * @returns {Probability} evaluated CDF * * @example * var y = cdf( 0.1, 1.0, 1.0 ); * // returns ~0.09 * * @example * var y = cdf( 0.2, 2.0, 2.0 ); * // returns ~0.0015 * * @example * var y = cdf( 0.4, 4.0, 4.0 ); * // returns ~3.88e-7 * * @example * var y = cdf( 1.0, 0.1, 1.0 ); * // returns 0.5 * * @example * var y = cdf( 2.0, -1.0, 0.5 ); * // returns NaN * * @example * var y = cdf( 2.0, 0.5, -1.0 ); * // returns NaN * * @example * var y = cdf( NaN, 1.0, 1.0 ); * // returns NaN * * @example * var y = cdf( 0.0, NaN, 1.0 ); * // returns NaN * * @example * var y = cdf( 0.0, 1.0, NaN ); * // returns NaN */ function cdf( x, c, d ) { if ( isnan( x ) || isnan( c ) || isnan( d ) || c <= 0.0 || d <= 0.0 || x <= 0.0 ) { return NaN; } return pow( 1 + pow( x, -c ), -d ); } // EXPORTS // module.exports = cdf; |