netkit.util
Class StatUtil

java.lang.Object
  netkit.util.StatUtil

public class StatUtil
extends java.lang.Object

Constructor Summary

StatUtil()

Method Summary

static double	getBinomialConfidenceInterval(double p, int size, double confidence)
static double	getCorrelation(double[] valueSet1, double[] valueSet2)
static double	getCovariance(double[] valueSet1, double[] valueSet2)
static double	getMean(double[] values)
static double	getOneSidedZ(int size, double pvalue)
static double	getSignificance(int size, double stdDevDiff)
static double	getSignificanceDifference(double err1, int size1, double err2, int size2) Return: 1-sided confidence that err1 < err2 (0 if not significant)
static double	getStdDev(double[] values, double mean)
static double	getTwoSidedZ(int size, double pvalue)
static double	getVariance(double[] values, double mean)
static double	pairedTTest(double[] errors1, double[] errors2)

Methods inherited from class java.lang.Object

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

Constructor Detail

StatUtil

public StatUtil()

Method Detail

getSignificance

public static double getSignificance(int size,
                                     double stdDevDiff)

getOneSidedZ

public static double getOneSidedZ(int size,
                                  double pvalue)

getTwoSidedZ

public static double getTwoSidedZ(int size,
                                  double pvalue)

getMean

public static double getMean(double[] values)

getCorrelation

public static double getCorrelation(double[] valueSet1,
                                    double[] valueSet2)

getCovariance

public static double getCovariance(double[] valueSet1,
                                   double[] valueSet2)

getStdDev

public static double getStdDev(double[] values,
                               double mean)

getVariance

public static double getVariance(double[] values,
                                 double mean)

getBinomialConfidenceInterval

public static double getBinomialConfidenceInterval(double p,
                                                   int size,
                                                   double confidence)

getSignificanceDifference

public static double getSignificanceDifference(double err1,
                                               int size1,
                                               double err2,
                                               int size2)

Return: 1-sided confidence that err1 < err2 (0 if not significant)

Parameters:

err1 -

size1 -

err2 -

size2 -

Returns:

1-sided confidence that err1 < err2 (0 if not significant)

pairedTTest

public static double pairedTTest(double[] errors1,
                                 double[] errors2)