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* @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 constantFunction = require( '@stdlib/utils/constant-function' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var gamma = require( '@stdlib/math/base/special/gamma' );
var EPS = require( '@stdlib/constants/float64/eps' );
// MAIN //
/**
* Returns a function for evaluating the moment-generating function (MGF) of a Weibull distribution with shape `k` and scale `lambda`.
*
* @param {PositiveNumber} k - shape parameter
* @param {PositiveNumber} lambda - scale parameter
* @returns {Function} MGF
*
* @example
* var mgf = factory( 8.0, 10.0 );
*
* var y = mgf( 0.8 );
* // returns ~3150.149
*
* y = mgf( 0.08 );
* // returns ~2.137
*/
function factory( k, lambda ) {
if (
isnan( k ) ||
isnan( lambda ) ||
k <= 0.0 ||
lambda <= 0.0
) {
return constantFunction( NaN );
}
return mgf;
/**
* Evaluates the moment-generating function (MGF) for a Weibull distribution.
*
* @private
* @param {number} t - input value
* @returns {number} evaluated MGF
*
* @example
* var y = mgf( 0.5 );
* // returns <number>
*/
function mgf( t ) {
var summand;
var sum;
var c;
var n;
if ( isnan( t ) ) {
return NaN;
}
sum = 1.0;
c = 1.0;
n = 0;
do {
n += 1;
c *= ( t * lambda ) / n;
if ( c === 0.0 ) {
summand = 0.0;
} else {
summand = c * gamma( 1.0 + (n / k) );
}
sum += summand;
} while ( summand / sum > EPS );
return sum;
}
}
// EXPORTS //
module.exports = factory;
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