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@stdlib/stats-base-dists-kumaraswamy-variance

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Kumaraswamy's double bounded distribution variance.

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/** * @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 addon = require( './../src/addon.node' ); // MAIN // /** * Returns the variance of a Kumaraswamy's double bounded distribution. * * @private * @param {PositiveNumber} a - first shape parameter * @param {PositiveNumber} b - second shape parameter * @returns {PositiveNumber} variance * * @example * var v = variance( 0.5, 1.0 ); * // returns ~0.089 * * @example * var v = variance( 4.0, 12.0 ); * // returns ~0.017 * * @example * var v = variance( 12.0, 2.0 ); * // returns ~0.006 * * @example * var v = variance( 1.0, -0.1 ); * // returns NaN * * @example * var v = variance( -0.1, 1.0 ); * // returns NaN * * @example * var v = variance( 2.0, NaN ); * // returns NaN * * @example * var v = variance( NaN, 2.0 ); * // returns NaN */ function variance( a, b ) { return addon( a, b ); } // EXPORTS // module.exports = variance;