class AggregateSummaryStatistics implements StatisticalSummary,
        Serializable {

    public static StatisticalSummaryValues aggregate(Collection<SummaryStatistics> statistics) {
        if (statistics == null) {
            return null;
        }
        Iterator<SummaryStatistics> iterator = statistics.iterator();
        if (!iterator.hasNext()) {
            return null;
        }
        SummaryStatistics current = iterator.next();
        long n = current.getN();
        double min = current.getMin();
        double sum = current.getSum();
        double max = current.getMax();
        double m2 = current.getSecondMoment();
        double mean = current.getMean();
        while (iterator.hasNext()) {
            current = iterator.next();
            if (current.getMin() < min || Double.isNaN(min)) {
                min = current.getMin();
            }
            if (current.getMax() > max || Double.isNaN(max)) {
                max = current.getMax();
            }
            sum += current.getSum();
            final double oldN = n;
            final double curN = current.getN();
            n += curN;
            final double meanDiff = current.getMean() - mean;
            mean = sum / n;
            m2 = m2 + current.getSecondMoment() + meanDiff * meanDiff * oldN * curN / n;
        }
        final double variance;
        if (n == 0) {
            variance = Double.NaN;
        } else if (n == 1) {
            variance = 0d;
        } else {
            variance = m2 / (n - 1);
        }
        return new StatisticalSummaryValues(mean, variance, n, max, min, sum);
    }

    public  AggregateSummaryStatistics();
    public  AggregateSummaryStatistics(SummaryStatistics prototypeStatistics);
    public  AggregateSummaryStatistics(SummaryStatistics prototypeStatistics,
                                      SummaryStatistics initialStatistics);

}