public class InverseGammaDistribution extends Distribution
applet, CONTINUOUS, DISCRETE, MAXMGFXVAL, MAXMGFYVAL, MINMGFXVAL, MIXED, name
Constructor and Description |
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InverseGammaDistribution()
Default Constructor: creates a new gamma distribution with shape
parameter 1 and scale parameter 1
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InverseGammaDistribution(double[] distData) |
InverseGammaDistribution(double a,
double b)
General Constructor: creates a new gamma distribution with shape
parameter k and scale parameter b
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InverseGammaDistribution(float[] distData) |
Modifier and Type | Method and Description |
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double |
getDensity(double x)
Density function
|
double |
getMean()
Mean
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double |
getMode()
Mode
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java.lang.String |
getOnlineDescription()
This method returns an online description of this distribution.
|
double |
getScale()
Get scale parameters
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double |
getShape()
Get shape parameters
|
double |
getVariance()
Variance
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void |
initialize()
used for some subclass to initialize before being used
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void |
paramEstimate(double[] distData) |
void |
setParameters(double a,
double b)
Set parameters and assign the default partition
|
void |
valueChanged() |
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, 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, simulate, update, valueChanged
createComponentSetter, createValueSetter, createValueSetter, createValueSetter, createValueSetter, getComponentSetter, getComponentSetters, getValueSetter, getValueSetters
public InverseGammaDistribution(double[] distData)
public InverseGammaDistribution(float[] distData)
public InverseGammaDistribution(double a, double b)
public InverseGammaDistribution()
public void initialize()
Distribution
initialize
in class Distribution
public void valueChanged()
valueChanged
in class Distribution
public void setParameters(double a, double b)
public double getShape()
public double getScale()
public double getDensity(double x)
getDensity
in class Distribution
public double getMean()
getMean
in class Distribution
public double getMode()
public double getVariance()
getVariance
in class Distribution
public java.lang.String getOnlineDescription()
getOnlineDescription
in class Distribution
public void paramEstimate(double[] distData)
paramEstimate
in class Distribution