function partial( mu, beta ) {

	/**
	* FUNCTION: mgf( t )
	*	Evaluates the moment-generating function (MGF) for a Gumbel distribution.
	*
	* @private
	* @param {Number} t - input value
	* @returns {Number} evaluated MGF
	*/
	return function mgf( t ) {
		var lnv = gamma.log( 1 + beta * t ) + mu * t;
		return exp( lnv );
	};
} // end FUNCTION partial()
/**
* FUNCTION: partial( mu, beta )
*	Partially applies location parameter `mu` and scale parameter `beta` and returns a function for evaluating the moment-generating function (MGF) for a Gumbel distribution.
*
* @param {Number} mu - location parameter
* @param {Number} beta - scale parameter
* @returns {Function} MGF
*/
partial( mu, beta )
Partially applies location parameter `mu` and scale parameter `beta` and returns a function for evaluating the moment-generating function (MGF) for a Gumbel distribution.
partial ( mu beta ) Partially applies location parameter ` mu ` and scale parameter ` beta ` and returns a function for evaluating the moment - generating function ( MGF ) for a Gumbel distribution .
function partial( mu, beta ) {
	return function mgf( t ) {
		var lnv = gamma.log( 1 + beta * t ) + mu * t;
		return exp( lnv );
	};
} 
function partial ( mu , beta ) { return function mgf ( t ) { var lnv = gamma . log ( 1 + beta * t ) + mu * t ; return exp ( lnv ) ; } ; }
FUNCTION: partial( mu, beta )
Partially applies location parameter `mu` and scale parameter `beta` and returns a function for evaluating the moment-generating function (MGF) for a Gumbel distribution.
FUNCTION : partial ( mu beta ) Partially applies location parameter ` mu ` and scale parameter ` beta ` and returns a function for evaluating the moment - generating function ( MGF ) for a Gumbel distribution .
/**
	* FUNCTION: mgf( t )
	*	Evaluates the moment-generating function (MGF) for a Gumbel distribution.
	*
	* @private
	* @param {Number} t - input value
	* @returns {Number} evaluated MGF
	*/ // end FUNCTION partial()