56 lines
1.5 KiB
JavaScript
56 lines
1.5 KiB
JavaScript
/**
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* @license Apache-2.0
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*
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* Copyright (c) 2018 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var factory = require( './factory.js' );
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// MAIN //
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/**
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* Generates a beta distributed random number.
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*
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* ## References
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*
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* - Ahrens, J.H., and U. Dieter. 1974. "Computer methods for sampling from gamma, beta, poisson and bionomial distributions." _Computing_ 12 (3): 223–46. doi:[10.1007/BF02293108](http://dx.doi.org/10.1007/BF02293108).
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* - Jöhnk, M.D. 1964. "Erzeugung von Betaverteilten Und Gammaverteilten Zufallszahlen." _Metrika_ 8: 5–15. <http://eudml.org/doc/175224>.
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*
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* @name beta
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* @type {PRNG}
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* @param {PositiveNumber} alpha - first shape parameter
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* @param {PositiveNumber} beta - second shape parameter
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* @returns {Probability} pseudorandom number
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*
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* @example
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* var r = beta( 2.0, 5.0 );
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* // returns <number>
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*
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* @example
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* var r = beta( -2.0, 5.0 );
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* // returns NaN
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*/
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var beta = factory();
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// EXPORTS //
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module.exports = beta;
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