/src/main/java/net/finmath/montecarlo/automaticdifferentiation/backward/alternative/RandomVariableAAD.java
resultrandomvariable = new RandomVariableFromDoubleArray( X.getAverage( Y) ) ;resultrandomvariable = new RandomVariableFromDoubleArray( X.getStandardDeviation( ) ) ;
resultrandomvariable = new RandomVariableFromDoubleArray ( X.getStandardDeviation ( ) ) ;
resultrandomvariable = new RandomVariableFromDoubleArray(X.getAverage()); break; case STDERROR: resultrandomvariable = new RandomVariableFromDoubleArray(X.getStandardError()); break; case STDEV: <extra_id_0> break; case VARIANCE: resultrandomvariable = new RandomVariableFromDoubleArray(X.getVariance()); break; case SVARIANCE: resultrandomvariable = new RandomVariableFromDoubleArray(X.getSampleVariance());