public class NormalDistribution extends Distribution
Modifier and Type | Field and Description |
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static double |
C |
applet, CONTINUOUS, DISCRETE, MAXMGFXVAL, MAXMGFYVAL, MINMGFXVAL, MIXED, name
Constructor and Description |
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NormalDistribution()
This default constructor creates a new standard normal distribution
|
NormalDistribution(double[] distData) |
NormalDistribution(double[] distData,
boolean calledByModeler) |
NormalDistribution(double mu,
double sigma)
This general constructor creates a new normal distribution with specified
parameter values
|
NormalDistribution(double mu,
double sigma,
boolean calledByModeler) |
NormalDistribution(float[] distData) |
NormalDistribution(float[] distData,
boolean calledByModeler) |
Modifier and Type | Method and Description |
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static double |
errorFunction(double value)
Compute the Gauss Error Function
http://en.wikipedia.org/wiki/Error_function.
|
static double |
GaussErrorFunction(double value)
Compute the Gauss Error Function
http://en.wikipedia.org/wiki/Error_function.
|
double |
getCDF(double x)
This method computes the cumulative distribution function
|
double |
getDensity(double x)
This method defines the getDensity function
|
double |
getMaxDensity()
This method returns the maximum value of the getDensity function
|
double |
getMean()
These methods return the mean
|
double |
getMedian()
This method returns the median
|
double |
getMGF(double t)
Computes the moment generating function in closed form for a
parameter t which lies in the domain of the distribution.
|
double |
getMu()
This method returns the location parameter
|
java.lang.String |
getOnlineDescription()
This method returns an online description of this distribution.
|
double |
getSigma()
This method gets the scale parameter
|
double |
getVariance()
These methods return the variance
|
void |
initialize()
used for some subclass to initialize before being used
|
double |
inverseStdNormalCDF(double probability)
Inverse of the cumulative Standar-Normal distribution function.
|
void |
paramEstimate(double[] distData) |
void |
setMu(double m)
This method sets the location parameter
|
void |
setParameters(double m,
double s)
This method sets the parameters
|
void |
setSigma(double s)
This method sets the scale parameter
|
double |
simulate()
This method simulates a value from the distribution
|
void |
valueChanged() |
addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMean, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, getSD, getSOCRDistributionFunctors, getSOCRDistributions, getType, getVariance, inverseCDF, logGamma, perm, sampleMean, sampleVar, setApplet, setDomain, setDomain, setMGFDomain, setMGFDomain, setMGFParameters, setMGFParameters, setMGFParameters, setMGFParameters, setParameters, setPGFDomain, setPGFDomain, setPGFParameters, setPGFParameters, setPGFParameters, setPGFParameters, update, valueChanged
createComponentSetter, createValueSetter, createValueSetter, createValueSetter, createValueSetter, getComponentSetter, getComponentSetters, getValueSetter, getValueSetters
public NormalDistribution(double mu, double sigma)
public NormalDistribution(double[] distData)
public NormalDistribution(float[] distData)
public NormalDistribution(double mu, double sigma, boolean calledByModeler)
public NormalDistribution(double[] distData, boolean calledByModeler)
public NormalDistribution(float[] distData, boolean calledByModeler)
public NormalDistribution()
public void initialize()
Distribution
initialize
in class Distribution
public void valueChanged()
valueChanged
in class Distribution
public void paramEstimate(double[] distData)
paramEstimate
in class Distribution
public void setParameters(double m, double s)
public double getDensity(double x)
getDensity
in class Distribution
public double getMaxDensity()
getMaxDensity
in class Distribution
public double getMedian()
getMedian
in class Distribution
public double getMean()
getMean
in class Distribution
public double getVariance()
getVariance
in class Distribution
public double simulate()
simulate
in class Distribution
public double getMu()
public void setMu(double m)
public double getSigma()
public void setSigma(double s)
public double getCDF(double x)
getCDF
in class Distribution
public double getMGF(double t)
getMGF
in class Distribution
public double inverseStdNormalCDF(double probability)
public static double GaussErrorFunction(double value)
public static double errorFunction(double value)
public java.lang.String getOnlineDescription()
getOnlineDescription
in class Distribution