jhplot.math.num.pdf

Class Normal

java.lang.Object

jhplot.math.num.pdf.ContinuousDistribution

jhplot.math.num.pdf.Normal

All Implemented Interfaces:

Distribution

public class Normal
extends ContinuousDistribution

The Normal distribution (1).

References:

1. Eric W. Weisstein. "Normal Distribution." From MathWorld--A Wolfram Web Resource. http://mathworld.wolfram.com/Normal.html

Constructor Summary

Constructors

Constructor and Description
Normal() Default constructor.
Normal(double m, double s) Create a distribution with the given mean and standard deviation.

Method Summary

Modifier and Type	Method and Description
double	cumulativeProbability(double x) The CDF for this distribution.
double	getMean() Access the mean.
double	getStandardDeviation() Access the standard deviation.
double	inverseCumulativeProbability(double p) The inverse CDF for this distribution.
void	setMean(double m) Modify the mean.
void	setStandardDeviation(double std) Modify the standard deviation.

Methods inherited from class java.lang.Object

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

Constructor Detail

Normal

public Normal()

Default constructor. Mean is set to zero and standard deviation is set to one.

Normal

public Normal(double m,
              double s)

Create a distribution with the given mean and standard deviation.

Parameters:

m - the mean.

s - the standard deviation.

Method Detail

cumulativeProbability

public double cumulativeProbability(double x)
                             throws NumericException

The CDF for this distribution. This method returns P(X < x).

Specified by:

cumulativeProbability in class ContinuousDistribution

Parameters:

x - the value at which the CDF is evaluated.

Returns:

CDF for this distribution.

Throws:

NumericException - if the cumulative probability can not be computed.

getMean

public double getMean()

Access the mean.

Returns:

the mean.

getStandardDeviation

public double getStandardDeviation()

Access the standard deviation.

Returns:

the standard deviation.

inverseCumulativeProbability

public double inverseCumulativeProbability(double p)
                                    throws NumericException

The inverse CDF for this distribution. This method returns x such that, P(X < x) = p.

Specified by:

inverseCumulativeProbability in class ContinuousDistribution

Parameters:

p - the cumulative probability.

Returns:

x

Throws:

NumericException - if the inverse cumulative probability can not be computed.

setMean

public void setMean(double m)

Modify the mean.

Parameters:

m - the new mean value.

setStandardDeviation

public void setStandardDeviation(double std)

Modify the standard deviation.

Parameters:

std - The new standard deviation value.