unbbayes.prs.hybridbn
Class NormalDistribution

java.lang.Object
  unbbayes.prs.hybridbn.NormalDistribution

public class NormalDistribution
extends Object

Constructor Summary

NormalDistribution()

NormalDistribution(double mean, double variance)

Method Summary

double	getCDF(double x) Calculate P(X <= x) using the standard normal distribution P(Z <= z) where z = (x - mean)/(standard variance) and P(Z <= z) = P(X <= x).
double	getCDFUpperBound(double probability) Calculate x using the standard normal distribution from the P(Z <= z) where z = (x - mean)/(standard variance) and P(Z <= z) = P(X <= x).
double	getMean() Get the normal distribution mean.
double	getProbability(double x) Returns the probability of a given value x for this normal distribution.
double	getProbability(double ini, double end) Calculate probability for an interval from CDF.
double	getVariance() Get the normal distribution variance.
static void	main(String[] args)
void	setMean(double mean) Set the normal distribution mean.
void	setVariance(double variance) Set the normal distribution variance.

Methods inherited from class java.lang.Object

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

Constructor Detail

NormalDistribution

public NormalDistribution()

NormalDistribution

public NormalDistribution(double mean,
                          double variance)

Method Detail

getCDFUpperBound

public double getCDFUpperBound(double probability)

Calculate x using the standard normal distribution from the P(Z <= z) where z = (x - mean)/(standard variance) and P(Z <= z) = P(X <= x).

Parameters:

probability - P(X <= x).

Returns:

The CDF upper bound (x).

getCDF

public double getCDF(double x)

Calculate P(X <= x) using the standard normal distribution P(Z <= z) where z = (x - mean)/(standard variance) and P(Z <= z) = P(X <= x).

Parameters:

x - The CDF upper bound.

Returns:

P(X <= x).

getProbability

public double getProbability(double ini,
                             double end)

Calculate probability for an interval from CDF. P(ini <= X <= end) = P(X <= end) - P(X <= ini).

Parameters:

ini - The interval initial value.

end - The interval end value.

Returns:

The probability for the interval from initial to end value.

getProbability

public double getProbability(double x)

Returns the probability of a given value x for this normal distribution.

Parameters:

x - The value we want to know the probability of.

Returns:

The probability of x for this normal distribution.

getMean

public double getMean()

Get the normal distribution mean.

Returns:

The normal distribution mean.

setMean

public void setMean(double mean)

Set the normal distribution mean.

Parameters:

mean - The normal distribution mean.

getVariance

public double getVariance()

Get the normal distribution variance.

Returns:

The normal distribution variance.

setVariance

public void setVariance(double variance)

Set the normal distribution variance.

Parameters:

variance - The normal distribution variance.

main

public static void main(String[] args)