time-to-botec

Benchmark sampling in different programming languages
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skewness.js (1678B)


      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 sqrt = require( '@stdlib/math/base/special/sqrt' );
     25 var zeta = require( '@stdlib/math/base/special/riemann-zeta' );
     26 var PI = require( '@stdlib/constants/float64/pi' );
     27 
     28 
     29 // VARIABLES //
     30 
     31 var SKEWNESS = 12.0 * sqrt( 6.0 ) * zeta( 3.0 ) / ( PI*PI*PI );
     32 
     33 
     34 // MAIN //
     35 
     36 /**
     37 * Returns the skewness for a Gumbel distribution with location `mu` and scale `beta`.
     38 *
     39 * @param {number} mu - location parameter
     40 * @param {PositiveNumber} beta - scale parameter
     41 * @returns {number} skewness
     42 *
     43 * @example
     44 * var y = skewness( 0.0, 1.0 );
     45 * // returns ~1.14
     46 *
     47 * @example
     48 * var y = skewness( 5.0, 2.0 );
     49 * // returns ~1.14
     50 *
     51 * @example
     52 * var y = skewness( NaN, 1.0 );
     53 * // returns NaN
     54 *
     55 * @example
     56 * var y = skewness( 0.0, NaN );
     57 * // returns NaN
     58 *
     59 * @example
     60 * var y = skewness( 0.0, 0.0 );
     61 * // returns NaN
     62 */
     63 function skewness( mu, beta ) {
     64 	if (
     65 		isnan( mu ) ||
     66 		isnan( beta ) ||
     67 		beta <= 0.0
     68 	) {
     69 		return NaN;
     70 	}
     71 	return SKEWNESS;
     72 }
     73 
     74 
     75 // EXPORTS //
     76 
     77 module.exports = skewness;