function pKolmogorov1( d, n ) {
	var len;
	var out;
	var tmp;
	var i;

	if ( d <= 0.0 ) {
		return 0.0;
	}
	if ( d >= 1.0 ) {
		return 1.0;
	}
	len = floor( n * (1.0-d) ) + 1;
	out = 0.0;
	for ( i = 0; i < len; i++ ) {
		tmp = binomcoefln( n, i );
		tmp += ( n - i ) * ln( 1.0 - d - (i/n) );
		tmp += ( i - 1.0 ) * ln( d + (i/n) );
		out += exp( tmp );
	}
	return 1.0 - (d * out);
}
Evaluates the CDF for the one-sided test statistics, i.e., the maximum by which the empirical CDF exceeds / is less than the hypothesized CDF.

@private
@param {number} d - the argument of the CDF of D_n^+ / D_n^-
@param {PositiveInteger} n - number of variates
@returns {number} evaluated CDF, i.e., P( D_n^+ < d )