本文整理了Java中org.apache.commons.math3.stat.descriptive.moment.Variance.getResult()方法的一些代码示例，展示了Variance.getResult()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Variance.getResult()方法的具体详情如下：
包路径：org.apache.commons.math3.stat.descriptive.moment.Variance
类名称：Variance
方法名：getResult

Variance.getResult介绍

暂无

代码示例

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * {@inheritDoc}
 */
@Override
public double getResult() {
  return FastMath.sqrt(variance.getResult());
}

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * 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();
}

代码示例来源：origin: org.apache.commons/commons-math3

/** {@inheritDoc} */
@Override
public double score(final List<? extends Cluster<T>> clusters) {
  double varianceSum = 0.0;
  for (final Cluster<T> cluster : clusters) {
    if (!cluster.getPoints().isEmpty()) {
      final Clusterable center = centroidOf(cluster);
      // compute the distance variance of the current cluster
      final Variance stat = new Variance();
      for (final T point : cluster.getPoints()) {
        stat.increment(distance(point, center));
      }
      varianceSum += stat.getResult();
    }
  }
  return varianceSum;
}

代码示例来源：origin: org.apache.commons/commons-math3

stat.increment(point.distanceFrom(center));
final double variance = stat.getResult();

代码示例来源：origin: org.apache.commons/commons-math3

stat.increment(distance(point, center));
final double variance = stat.getResult();

代码示例来源：origin: org.apache.commons/commons-math3

stat.increment(point.distanceFrom(center));
varianceSum += stat.getResult();

代码示例来源：origin: org.apache.commons/commons-math3

variance.incrementAll(values, begin, length);
double mean = variance.moment.m1;
double stdDev = FastMath.sqrt(variance.getResult());

代码示例来源：origin: meyerjp3/psychometrics

/**
 * Observed variance of the estimate.
 *
 * @return observed variance.
 */
public double observedVariance(){
  return var.getResult();
}

代码示例来源：origin: geogebra/geogebra

/**
 * {@inheritDoc}
 */
@Override
public double getResult() {
  return Math.sqrt(variance.getResult());
}

代码示例来源：origin: meyerjp3/psychometrics

/**
 * Observed standard deviation of the estimate.
 *
 * @return stanmdard deviation.
 */
public double observedStandardDeviation(){
  return Math.sqrt(var.getResult());
}

代码示例来源：origin: meyerjp3/psychometrics

/**
 * An adjusted variance for computing scale quality statistics.
 *
 * @return adjusted variance.
 */
public double adjustedVariance(){
  return Math.max(0,var.getResult() - meanSquareError());//can be negative. constrain to be nonnegative
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * {@inheritDoc}
 */
@Override
public double getResult() {
  return FastMath.sqrt(variance.getResult());
}

代码示例来源：origin: meyerjp3/psychometrics

/**
 * Reliability is the reproduceability of the item or person estimates.
 *
 * @return reliability of the estimates.
 */
public double reliability(){
  return adjustedVariance()/var.getResult();
}

代码示例来源：origin: Jasig/uPortal

/**
 * Returns the (sample) variance of the available values.
 *
 * <p>This method returns the bias-corrected sample variance (using {@code n - 1} in the
 * denominator). Use {@link #getPopulationVariance()} for the non-bias-corrected population
 * variance.
 *
 * <p>Double.NaN is returned if no values have been added.
 *
 * @return the variance
 */
@Override
public double getVariance() {
  return _getVariance().getResult();
}

代码示例来源：origin: geogebra/geogebra

/**
 * 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();
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * 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();
}

代码示例来源：origin: Jasig/uPortal

/**
 * 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();
}

代码示例来源：origin: zavtech/morpheus-core

public static void main(String[] args) {
  final double[] values = new java.util.Random().doubles(5000).toArray();
  final Variance stat1 = new Variance(true);
  final org.apache.commons.math3.stat.descriptive.moment.Variance stat2 = new org.apache.commons.math3.stat.descriptive.moment.Variance(true);
  for (double value : values) {
    stat1.add(value);
    stat2.increment(value);
  }
  final double result1 = stat1.getValue();
  final double result2 = stat2.getResult();
  if (result1 != result2) {
    throw new RuntimeException("Error: " + result1 + " != " + result2);
  }
}

代码示例来源：origin: geogebra/geogebra

/** {@inheritDoc} */
@Override
public double score(final List<? extends Cluster<T>> clusters) {
  double varianceSum = 0.0;
  for (final Cluster<T> cluster : clusters) {
    if (!cluster.getPoints().isEmpty()) {
      final Clusterable center = centroidOf(cluster);
      // compute the distance variance of the current cluster
      final Variance stat = new Variance();
      for (final T point : cluster.getPoints()) {
        stat.increment(distance(point, center));
      }
      varianceSum += stat.getResult();
    }
  }
  return varianceSum;
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/** {@inheritDoc} */
@Override
public double score(final List<? extends Cluster<T>> clusters) {
  double varianceSum = 0.0;
  for (final Cluster<T> cluster : clusters) {
    if (!cluster.getPoints().isEmpty()) {
      final Clusterable center = centroidOf(cluster);
      // compute the distance variance of the current cluster
      final Variance stat = new Variance();
      for (final T point : cluster.getPoints()) {
        stat.increment(distance(point, center));
      }
      varianceSum += stat.getResult();
    }
  }
  return varianceSum;
}