Example usage for org.apache.commons.math3.stat.descriptive.moment SecondMoment SecondMoment

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat.descriptive.moment SecondMoment SecondMoment.

Prototype

public SecondMoment() 

Source Link

Document

Create a SecondMoment instance

Usage

From source file:gamlss.utilities.WLSMultipleLinearRegression.java

/**
* {@inheritDoc}/*from   w  ww  .  j a  v  a2  s.  c o m*/
* Double.NaN is not applicable
*/
@Override
public double calculateTotalSumOfSquares() {
    if (this.copyOriginal) {
        if (isNoIntercept()) {
            return StatUtils.sumSq(this.y.toArray());
        } else {
            return new SecondMoment().evaluate(this.y.toArray());
        }
    }
    return Double.NaN;
}

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From source file:org.apereo.portal.events.aggr.JpaStatisticalSummaryTest.java

@Ignore
@Test/*from w ww. ja v  a 2 s.  co m*/
public void testSummaryStatisticsJson() throws Exception {
    final SecondMoment secondMoment = new SecondMoment();
    final Sum sum = new Sum();
    final SumOfSquares sumsq = new SumOfSquares();
    final Min min = new Min();
    final Max max = new Max();
    final SumOfLogs sumLog = new SumOfLogs();

    final Random r = new Random(0);
    for (int i = 0; i < 10; i++) {
        final int nextInt = r.nextInt(100000000);
        secondMoment.increment(nextInt);
        sum.increment(nextInt);
        sumsq.increment(nextInt);
        min.increment(nextInt);
        max.increment(nextInt);
        sumLog.increment(nextInt);
    }

    testStorelessUnivariateStatistic(secondMoment, 7.513432791665536E15);
    testStorelessUnivariateStatistic(sum, 6.01312177E8);
    testStorelessUnivariateStatistic(sumsq, 4.3671066212513456E16);
    testStorelessUnivariateStatistic(min, 2116447.0);
    testStorelessUnivariateStatistic(max, 8.5505948E7);
    testStorelessUnivariateStatistic(sumLog, 175.91713800250577);
}

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From source file:org.apereo.portal.events.aggr.stat.JpaStatisticalSummary.java

private SecondMoment _getSecondMoment() {
    if (this.secondMoment == null) {
        this.secondMoment = new SecondMoment();
    }/*from w  ww.j a  v  a2 s . c  om*/
    return this.secondMoment;
}

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From source file:org.ssascaling.model.timeseries.learner.apache.OLSMultipleLinearRegression.java

/**
 * <p>Returns the sum of squared deviations of Y from its mean.</p>
 *
 * <p>If the model has no intercept term, <code>0</code> is used for the
 * mean of Y - i.e., what is returned is the sum of the squared Y values.</p>
 *
 * <p>The value returned by this method is the SSTO value used in
 * the {@link #calculateRSquared() R-squared} computation.</p>
 *
 * @return SSTO - the total sum of squares
 * @see #isNoIntercept()//w  w  w.  j  a va2  s  . c o m
 * @since 2.2
 */
public double calculateTotalSumOfSquares() {
    if (isNoIntercept()) {
        return StatUtils.sumSq(getY().toArray());
    } else {
        return new SecondMoment().evaluate(getY().toArray());
    }
}

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