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