Class SampleMeanVar

java.lang.Object
math.SampleMeanVar
public class SampleMeanVar extends Object
Author:
Federico Granata

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    protected double
    confInt
     
    protected double
    max
     
    protected double
    min
     
    protected double
    n
     
    protected double
    S
     
    protected double
    smean
     
    protected double
    sum
     
    protected double
    svar
     

  • Constructor Summary

    Constructors
    Constructor
    Description
    SampleMeanVar()
    Creates a new instance of SampleMeanVar
    SampleMeanVar(double[] data)
    Creates a new instance of SampleMeanVar calculating the parameters with the initializing data sequence

  • Method Summary

    Modifier and Type
    Method
    Description
    protected void
    calcMean(double newValue)
    computes the new mean using a more stable algorithm
    protected void
    calcVar(double newValue)
    computes the new sample variance using a stable algorithm it also computes the mean with the stable algorithm.
    double
    getConfInt(double perc)
    get the actual conf int it is 0 if the variance has not been calculated
    double
    getMax()
    get the greatest value
    double
    getMean()
    get the sample mean
    double
    getMin()
    get the smallest value
    double
    getVar()
    get the sample variance
    void
    initialize()
    initialize a new SampleMeanVar with parameters all zero
    void
    putNewSample(double newValue)
    update the sample mean & variance with the new value it uses stable algorithms
    String
    toString()
    creates a string with the calculated parameters of the sequence monitored by SampleMeanVar

    Methods inherited from class Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

  • Field Details

    • sum

      protected double sum

    • smean

      protected double smean

    • svar

      protected double svar

    • n

      protected double n

    • max

      protected double max

    • min

      protected double min

    • S

      protected double S

    • confInt

      protected double confInt

  • Constructor Details

    • SampleMeanVar

      public SampleMeanVar()
      Creates a new instance of SampleMeanVar

    • SampleMeanVar

      public SampleMeanVar(double[] data)
      Creates a new instance of SampleMeanVar calculating the parameters with the initializing data sequence
      Parameters:
      data - the initial data sequence;

  • Method Details

    • initialize

      public void initialize()
      initialize a new SampleMeanVar with parameters all zero

    • putNewSample

      public void putNewSample(double newValue)
      update the sample mean & variance with the new value it uses stable algorithms
      Parameters:
      newValue -

    • calcMean

      protected void calcMean(double newValue)
      computes the new mean using a more stable algorithm
      Parameters:
      newValue - the new element to be added to the sequence

    • calcVar

      protected void calcVar(double newValue)
      computes the new sample variance using a stable algorithm it also computes the mean with the stable algorithm.
      Parameters:
      newValue - the new element to be added to the sequence

    • getMean

      public double getMean()
      get the sample mean
      Returns:
      the actual sample mean

    • getVar

      public double getVar()
      get the sample variance
      Returns:
      the actual sample variance

    • getMax

      public double getMax()
      get the greatest value
      Returns:
      the actual max value

    • getMin

      public double getMin()
      get the smallest value
      Returns:
      the actual min value

    • getConfInt

      public double getConfInt(double perc)
      get the actual conf int it is 0 if the variance has not been calculated
      Parameters:
      perc - the percentile required
      Returns:
      the confidence interval requested

    • toString

      public String toString()
      creates a string with the calculated parameters of the sequence monitored by SampleMeanVar
      Overrides:
      toString in class Object
      Returns:
      a string