@stdlib/stats
Version:
Standard library statistical functions.
98 lines (85 loc) • 2.1 kB
JavaScript
/**
* @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.
*/
;
// MODULES //
var constantFunction = require( '@stdlib/utils/constant-function' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var exp = require( '@stdlib/math/base/special/exp' );
var pow = require( '@stdlib/math/base/special/pow' );
// MAIN //
/**
* Returns a function for evaluating the moment-generating function (MGF) for a triangular distribution with lower limit `a`, upper limit `b`, and mode `c`.
*
* @param {number} a - lower limit
* @param {number} b - upper limit
* @param {number} c - mode
* @returns {Function} MGF
*
* @example
* var mgf = factory( 0.0, 2.0, 1.0 );
* var y = mgf( -1.0 );
* // returns ~0.3996
*
* y = mgf( 2.0 );
* // returns ~10.205
*/
function factory( a, b, c ) {
var bmc;
var bma;
var cma;
if (
isnan( a ) ||
isnan( b ) ||
isnan( c ) ||
a > c ||
c > b
) {
return constantFunction( NaN );
}
bmc = b - c;
bma = b - a;
cma = c - a;
return mgf;
/**
* Evaluates the moment-generating function (MGF) for a triangular distribution.
*
* @private
* @param {number} t - input value
* @returns {number} evaluated MGF
*
* @example
* var y = mgf( 0.5 );
* // returns <number>
*/
function mgf( t ) {
var ret;
if ( isnan( t ) ) {
return NaN;
}
if ( t === 0.0 ) {
return 1.0;
}
ret = (bmc * exp( a * t )) - (bma * exp( c * t ));
ret += cma * exp( b * t );
ret *= 2.0;
ret /= bma * cma * bmc * pow( t, 2.0 );
return ret;
}
}
// EXPORTS //
module.exports = factory;