/** * @see org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic#getResult() */ public double getResult() { return Math.sqrt(variance.getResult()); }
/** * {@inheritDoc} */ @Override public double getResult() { return Math.sqrt(variance.getResult()); }
/** * {@inheritDoc} */ @Override public double getResult() { return FastMath.sqrt(variance.getResult()); }
/** * Returns the variance of the values that have been added. * <p> * Double.NaN is returned if no values have been added. * </p> * @return the variance */ public double getVariance() { if (varianceImpl == variance) { return new Variance(secondMoment).getResult(); } else { return varianceImpl.getResult(); } }
/** * Returns the variance of the values that have been added. * <p> * Double.NaN is returned if no values have been added.</p> * * @return the variance */ public double getVariance() { if (varianceImpl == variance) { return new Variance(secondMoment).getResult(); } else { return varianceImpl.getResult(); } }
/** * Returns the variance of the values that have been added. * <p> * Double.NaN is returned if no values have been added. * </p> * @return the variance */ public double getVariance() { if (varianceImpl == variance) { return new Variance(secondMoment).getResult(); } else { return varianceImpl.getResult(); } }
variance.incrementAll(values, begin, length); double mean = variance.moment.m1; double stdDev = Math.sqrt(variance.getResult());
variance.incrementAll(values, begin, length); double mean = variance.moment.m1; double stdDev = Math.sqrt(variance.getResult());
stat.increment(point.distanceFrom(center)); final double variance = stat.getResult();
variance.incrementAll(values, begin, length); double mean = variance.moment.m1; double stdDev = FastMath.sqrt(variance.getResult());