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Java Source Code / Java Documentation » Science » Apache commons math 1.1 » org.apache.commons.math.stat.descriptive.moment 
Source Cross Reference  Class Diagram Java Document (Java Doc) 


org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
   org.apache.commons.math.stat.descriptive.moment.Skewness

Skewness
public class Skewness extends AbstractStorelessUnivariateStatistic implements Serializable(Code)
Computes the skewness of the available values.

We use the following (unbiased) formula to define skewness:

skewness = [n / (n -1) (n - 2)] sum[(x_i - mean)^3] / std^3

where n is the number of values, mean is the Mean and std is the StandardDeviation

Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.
version:
   $Revision: 348519 $ $Date: 2005-11-23 12:12:18 -0700 (Wed, 23 Nov 2005) $



Field Summary
protected  booleanincMoment
     Determines whether or not this statistic can be incremented or cleared.
protected  ThirdMomentmoment
    

Constructor Summary
public  Skewness()
    
public  Skewness(ThirdMoment m3)
    

Method Summary
public  voidclear()
    
public  doubleevaluate(double[] values, int begin, int length)
     Returns the Skewness of the entries in the specifed portion of the input array.
public  longgetN()
    
public  doublegetResult()
     Returns the value of the statistic based on the values that have been added.
public  voidincrement(double d)
    

Field Detail
incMoment
protected boolean incMoment(Code)
Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.




moment
protected ThirdMoment moment(Code)
Third moment on which this statistic is based




Constructor Detail
Skewness
public Skewness()(Code)
Constructs a Skewness



Skewness
public Skewness(ThirdMoment m3)(Code)
Constructs a Skewness with an external moment
Parameters:
  m3 - external moment




Method Detail
clear
public void clear()(Code)

See Also:   org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic.clear



evaluate
public double evaluate(double[] values, int begin, int length)(Code)
Returns the Skewness of the entries in the specifed portion of the input array.

See Skewness for the definition used in the computation.

Throws IllegalArgumentException if the array is null.
Parameters:
  values - the input array
Parameters:
  begin - the index of the first array element to include
Parameters:
  length - the number of elements to include the skewness of the values or Double.NaN if length is less than3
throws:
  IllegalArgumentException - if the array is null or the array indexparameters are not valid




getN
public long getN()(Code)

See Also:   org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic.getN



getResult
public double getResult()(Code)
Returns the value of the statistic based on the values that have been added.

See Skewness for the definition used in the computation. the skewness of the available values.




increment
public void increment(double d)(Code)

See Also:   org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic.increment(double)



Methods inherited from org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
abstract public void clear()(Code)(Java Doc)
public boolean equals(Object object)(Code)(Java Doc)
public double evaluate(double[] values)(Code)(Java Doc)
public double evaluate(double[] values, int begin, int length)(Code)(Java Doc)
abstract public double getResult()(Code)(Java Doc)
public int hashCode()(Code)(Java Doc)
abstract public void increment(double d)(Code)(Java Doc)
public void incrementAll(double[] values)(Code)(Java Doc)
public void incrementAll(double[] values, int begin, int length)(Code)(Java Doc)

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