d.fit( aHat, MixtureDistribution.NNMMethod );
if( paceEstimator == ebEstimator )
aTilde = d.empiricalBayesEstimate( aHat );
else if( paceEstimator == ebEstimator )
aTilde = d.subsetEstimate( aHat );
else aTilde = d.nestedEstimate( aHat );
break;
case pace2Estimator:
case pace4Estimator:
case pace6Estimator:
DoubleVector AHat = aHat.square();