private static double hackyAdjuster(double f){
  double tmp=Math.sqrt(1.0 - f);
  return (f <= 0.5) ? tmp : tmp + (0.01 * (f - 0.5));
}

private static double hackyAdjuster ( double f ) { double tmp = Math . sqrt ( 1.0 - f ) ; return ( f <= 0.5 ) ? tmp : tmp + ( 0.01 * ( f - 0.5 ) ) ; }
this hackyadjuster is tightly coupled with the width of the confidence interval normally specified with number of standard deviations . to simplify this interface the number of standard deviations has been fixed to 2 . 0 , which corresponds to a confidence interval of 95 % .
