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 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 209x 209x 209x 209x 209x 209x 202x 209x 9x 9x 200x 209x 1x 1x 1x 1x 1x | /** * @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 sqrt = require( '@stdlib/math/base/special/sqrt' ); // MAIN // /** * Returns the skewness of a negative binomial distribution. * * @param {PositiveNumber} r - number of failures until experiment is stopped * @param {Probability} p - success probability * @returns {NonNegativeNumber} skewness * * @example * var v = skewness( 100, 0.2 ); * // returns ~0.201 * * @example * var v = skewness( 20, 0.5 ); * // returns ~0.474 * * @example * var v = skewness( 10.3, 0.8 ); * // returns ~0.836 * * @example * var v = skewness( -2, 0.5 ); * // returns NaN * * @example * var v = skewness( 20, 1.1 ); * // returns NaN * * @example * var v = skewness( 20, NaN ); * // returns NaN * * @example * var v = skewness( NaN, 0.5 ); * // returns NaN */ function skewness( r, p ) { if ( isnan( r ) || isnan( p ) || r <= 0.0 || p < 0.0 || p > 1.0 ) { return NaN; } return ( 2.0-p ) / sqrt( ( 1.0-p ) * r ); } // EXPORTS // module.exports = skewness; |