List of variance() Examples

Examples of variance()

flanagan.analysis.Stat.variance()

net.jcores.jre.cores.CoreNumber.variance()

Returns the variance of all enclosed numbers, assuming a uniform distribution.

Examples:

$(2, -2, 2, -2).variance() - Returns 4.0.

Single-threaded.
>
@since 1.0 @return The variance of all enclosed numbers. If no numbers are enclosed, 0 is returned.

org.jquantlib.math.statistics.GenericSequenceStatistics.variance()

org.jquantlib.processes.GeneralizedBlackScholesProcess.variance()

org.jquantlib.processes.StochasticProcess1D.variance()

Returns the variance {@latex$} V(x_t_0 + \Delta t} | x_{t_0} = x_0) } of the process after a time interval {@latex$ \Delta t }according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.

umontreal.iro.lecuyer.stat.Tally.variance()

Returns the sample variance of the observations since the last initialization. This returns Double.NaN if the tally contains less than two observations. @return the variance of the observations

weka.core.Instances.variance()

Computes the variance for a numeric attribute. @param attIndex the numeric attribute (index starts with 0) @return the variance if the attribute is numeric @throws IllegalArgumentException if the attribute is not numeric

    m_FullMeansOrMediansOrModes = moveCentroid(0, instances, false);
    for (int i = 0; i < instances.numAttributes(); i++) {
      m_FullMissingCounts[i] = instances.attributeStats(i).missingCount;
      if (instances.attribute(i).isNumeric()) {
        if (m_displayStdDevs) {
          m_FullStdDevs[i] = Math.sqrt(instances.variance(i));
        }
        if (m_FullMissingCounts[i] == instances.numInstances()) {
          m_FullMeansOrMediansOrModes[i] = Double.NaN; // mark missing as mean
        }
      } else {

Examples of weka.core.Instances.variance()

      m_StdDevs = new double[input.numAttributes()];
      for (int i = 0; i < input.numAttributes(); i++) {
  if (input.attribute(i).isNumeric() &&
      (input.classIndex() != i)) {
    m_Means[i] = input.meanOrMode(i);
    m_StdDevs[i] = Math.sqrt(input.variance(i));
  }
      }


      // Convert pending input instances
      for(int i = 0; i < input.numInstances(); i++) {

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.