/** * @param isBiasCorrected The isBiasCorrected to set. */ public void setBiasCorrected(boolean isBiasCorrected) { variance.setBiasCorrected(isBiasCorrected); }
/** * Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance"> * population variance</a> of the values that have been added. * * <p>Double.NaN is returned if no values have been added.</p> * * @return the population variance */ public double getPopulationVariance() { Variance populationVariance = new Variance(secondMoment); populationVariance.setBiasCorrected(false); return populationVariance.getResult(); }
/** * @param isBiasCorrected The isBiasCorrected to set. */ public void setBiasCorrected(boolean isBiasCorrected) { variance.setBiasCorrected(isBiasCorrected); }
/** * @param isBiasCorrected The isBiasCorrected to set. */ public void setBiasCorrected(boolean isBiasCorrected) { variance.setBiasCorrected(isBiasCorrected); }
/** * Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance"> * population variance</a> of the values that have been added. * * <p>Double.NaN is returned if no values have been added.</p> * * @return the population variance */ public double getPopulationVariance() { Variance populationVariance = new Variance(secondMoment); populationVariance.setBiasCorrected(false); return populationVariance.getResult(); }
/** * Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance"> * population variance</a> of the values that have been added. * * <p>Double.NaN is returned if no values have been added.</p> * * @return the population variance */ public double getPopulationVariance() { Variance populationVariance = new Variance(secondMoment); populationVariance.setBiasCorrected(false); return populationVariance.getResult(); }
/** * Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance">population * variance</a> of the values that have been added. * * <p>Double.NaN is returned if no values have been added. * * @return the population variance */ @Override public double getPopulationVariance() { Variance populationVariance = new Variance(_getSecondMoment()); populationVariance.setBiasCorrected(false); return populationVariance.getResult(); }