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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 | 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 109x 109x 109x 109x 106x 109x 9x 9x 100x 109x 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' ); // MAIN // /** * Returns the variance for a normal distribution with mean `mu` and standard deviation `sigma`. * * @param {number} mu - mean * @param {PositiveNumber} sigma - standard deviation * @returns {PositiveNumber} variance * * @example * var y = variance( 0.0, 1.0 ); * // returns 1.0 * * @example * var y = variance( 5.0, 3.0 ); * // returns 9.0 * * @example * var y = variance( NaN, 1.0 ); * // returns NaN * * @example * var y = variance( 0.0, NaN ); * // returns NaN * * @example * var y = variance( 0.0, 0.0 ); * // returns NaN */ function variance( mu, sigma ) { if ( isnan( mu ) || isnan( sigma ) || sigma <= 0.0 ) { return NaN; } return sigma*sigma; } // EXPORTS // module.exports = variance; |