keel.Algorithms.Preprocess.Missing_Values.EventCovering.Stat

Class StatFunc

java.lang.Object

keel.Algorithms.Preprocess.Missing_Values.EventCovering.Stat.StatFunc

public class StatFunc
extends java.lang.Object

Statistical Functions

Constructor Summary

Constructors

Constructor and Description
StatFunc()

Method Summary

Modifier and Type	Method and Description
static double	bivariateDensity(double x, double y, double ro) Density function of the Bivariate Standard Normal Distribution.
static double	chiSquare(double chisq, int n) Chi Square Distribution Function.
static double	chiSquarePercentage(double p, int n) Percentage point of the chi square distribution.
static double	erf(double x) Error function.
static double	gaussian(double x) Standard Normal Distribution Function.
static double	gaussian(double x, double mean, double stdev) Normal Distribution Function with given mean and standard deviation.
static double	gaussianDensity(double x) Density function of the Standard Normal Distribution.
static double	gaussianDensity(double x, double mean, double stdev) Density function of the Normal Distribution with given mean and standard deviation.
static double	gaussianPercentage(double p) Percentage point of the standard normal distribution.
static double	gaussianPercentage(double p, double mean, double stdev) Percentage point of the normal distribution with given mean and standard deviation.
static void	main(java.lang.String[] args) Main function.
static double	student(double t, int n) Student t Distribution Function.
static double	studentPercentage(double p, int n) Percentage point of the student t distribution.

Methods inherited from class java.lang.Object

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

Constructor Detail

StatFunc

public StatFunc()

Method Detail

gaussianDensity

public static double gaussianDensity(double x)

Density function of the Standard Normal Distribution.

Parameters:

x - real value given.

Returns:

density for X.

gaussianDensity

public static double gaussianDensity(double x,
                                     double mean,
                                     double stdev)

Density function of the Normal Distribution with given mean and standard deviation.

Parameters:

x - real value given.

mean - mean given.

stdev - standard deviation given.

Returns:

density for X.

gaussian

public static double gaussian(double x)

Standard Normal Distribution Function.

Parameters:

x - real value given.

Returns:

Standard Normal Distribution for X.

gaussian

public static double gaussian(double x,
                              double mean,
                              double stdev)

Normal Distribution Function with given mean and standard deviation.

Parameters:

x - real value given.

mean - mean given.

stdev - standard deviation given.

Returns:

Normal Distribution Function for X.

gaussianPercentage

public static double gaussianPercentage(double p)

Percentage point of the standard normal distribution. (Inverse of the distribution function.)

Parameters:

p - given percentage.

Returns:

percentage point of the standard normal distribution.

gaussianPercentage

public static double gaussianPercentage(double p,
                                        double mean,
                                        double stdev)

Percentage point of the normal distribution with given mean and standard deviation.

Parameters:

p - given percentage.

mean - mean given.

stdev - standard deviation given.

Returns:

Percentage point of the normal distribution with given mean and standard deviation.

erf

public static double erf(double x)

Error function.

Parameters:

x - real value given.

Returns:

error resultant.

bivariateDensity

public static double bivariateDensity(double x,
                                      double y,
                                      double ro)

Density function of the Bivariate Standard Normal Distribution.

Parameters:

x - X value given.

y - Y value given.

ro - RO for Bivariate Standard Normal Distribution.

Returns:

Density for X

chiSquare

public static double chiSquare(double chisq,
                               int n)

Chi Square Distribution Function.

Parameters:

chisq - chi value given.

n - n value.

Returns:

Chi Square Distribution value for chisq and n.

chiSquarePercentage

public static double chiSquarePercentage(double p,
                                         int n)

Percentage point of the chi square distribution. (Inverse of the distribution function.)

Parameters:

p - percentage given.

n - n value.

Returns:

Percentage point of the chi square distribution for p.

student

public static double student(double t,
                             int n)

Student t Distribution Function.

Parameters:

t - Student T.

n - value given.

Returns:

Student t Distribution value for n.

studentPercentage

public static double studentPercentage(double p,
                                       int n)

Percentage point of the student t distribution. (Inverse of the distribution function.)

Parameters:

p - percentage given.

n - value given.

Returns:

Percentage point of the student t distribution value for n.

main

public static void main(java.lang.String[] args)

Main function. Computes Pcinv(1.0*i/100.0,50) for i from 0 to 100.

Parameters:

args - main args.