public class RiceDistribution extends Distribution
applet, CONTINUOUS, DISCRETE, MAXMGFXVAL, MAXMGFYVAL, MINMGFXVAL, MIXED, name
Constructor and Description |
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RiceDistribution()
This default constructor creates a new Von Mises distribuiton on (0, 1).
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RiceDistribution(double[] distData) |
RiceDistribution(double[] distData,
boolean calledByModeler) |
RiceDistribution(double _nu,
double _sigma)
This general constructor creates a new Rician distribution.
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RiceDistribution(float[] distData) |
RiceDistribution(float[] distData,
boolean calledByModeler) |
Modifier and Type | Method and Description |
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double |
getDensity(double x)
This method computes the Rician density function.
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double |
getMean()
This method computes the Rician mean.
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double |
getNu()
This method returns the NU value.
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java.lang.String |
getOnlineDescription()
This method returns an online description of this distribution.
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double |
getSD()
This method computes the Standard Diviation
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double |
getSigma()
This method returns the SIGMA value.
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double |
getVariance()
This method computes the Rician variance.
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double |
I0(double x)
This method Calls the Bessel Function of the ZERO kind defined in
edu.ucla.stat.SOCR.util.BesselFunction
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double |
I1(double x)
This method Calls the Bessel Function of the FIRST kind defined in
edu.ucla.stat.SOCR.util.BesselFunction
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void |
initialize()
used for some subclass to initialize before being used
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double |
L_half(double x)
This method computes the maximum value of the getDensity function.
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void |
paramEstimate(double[] distData)
This method returns the Nu and Sigma parameter estimates from a sample dataset.
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void |
setParameters(double _nu,
double _sigma)
This method sets the parameters: the minimum and maximum values of the
interval.
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double |
simulate()
This method simulates a value from the Rice distribution.
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void |
valueChanged(java.util.Observable o,
java.lang.Object arg) |
addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, getMaxDensity, getMean, getMedian, getMGF, getMgfDomain, getName, getPGF, getPGFDomain, getQuantile, getSampleMoment, 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 RiceDistribution(double _nu, double _sigma)
public RiceDistribution()
public RiceDistribution(double[] distData)
public RiceDistribution(float[] distData)
public RiceDistribution(double[] distData, boolean calledByModeler)
public RiceDistribution(float[] distData, boolean calledByModeler)
public void initialize()
Distribution
initialize
in class Distribution
public void valueChanged(java.util.Observable o, java.lang.Object arg)
valueChanged
in class Distribution
public void setParameters(double _nu, double _sigma)
public double getDensity(double x)
getDensity
in class Distribution
public double L_half(double x)
public double getMean()
getMean
in class Distribution
public double getVariance()
getVariance
in class Distribution
public double I0(double x)
public double I1(double x)
public double getSD()
getSD
in class Distribution
public void paramEstimate(double[] distData)
paramEstimate
in class Distribution
public double getNu()
public double getSigma()
public double simulate()
simulate
in class Distribution
public java.lang.String getOnlineDescription()
getOnlineDescription
in class Distribution