public class ErrorDistribution extends Distribution
applet, CONTINUOUS, DISCRETE, MAXMGFXVAL, MAXMGFYVAL, MINMGFXVAL, MIXED, name
Constructor and Description |
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ErrorDistribution()
Default constructor: creates an Error distribution with location, scale and shape
parameters equal to 1.
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ErrorDistribution(double[] distData)
Constructor: Creates a new Error distribution from a series of observations by parameter estimation.
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ErrorDistribution(double a,
double b,
double c)
General constructor: creates an Error distribution with
location(a), scale(b) and shape(c) parameters.
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ErrorDistribution(float[] distData)
Constructor: Creates a new Error distribution from a series of observations by parameter estimation.
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Modifier and Type | Method and Description |
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double |
getDensity(double x)
Define the Error getDensity function
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double |
getLocation()
Get the Location paramter
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double |
getMaxDensity()
Compute the maximum getDensity
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double |
getMean()
Compute the mean in closed form
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double |
getMode()
Compute the Mode in closed form
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java.lang.String |
getOnlineDescription()
This method returns an online description of this distribution.
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double |
getScale()
Get the scale paramter
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double |
getSD()
Compute the variance in closed form
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double |
getShape()
Get the shape parameter
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double |
getVariance()
Compute the variance in closed form
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void |
initialize()
Class initialization.
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void |
paramEstimate(double[] distData)
Overwrites the method in distribution for estimating parameters
By assuming that the shape parameter is known, the location and scale parameters could
be easily obtained by using the maximum likelihood estimation method.
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void |
setLocation(double a)
Sets the Location parameter
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void |
setParameters(double a,
double b,
double c)
Set the parameters, compute the normalizing constant NormalizingConst, and specifies the
interval and partition
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void |
setScale(double b)
Sets the Scale parameter
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void |
setShape(double c)
Sets the Shape parameter
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void |
valueChanged() |
addObserver, betaCDF, comb, factorial, findGFRoot, findRoot, gamma, gammaCDF, getCDF, getDisplayPane, getDomain, getFailureRate, getGFDerivative, getGFSecondDerivative, getInstance, getLocalHelp, 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, simulate, update, valueChanged
createComponentSetter, createValueSetter, createValueSetter, createValueSetter, createValueSetter, getComponentSetter, getComponentSetters, getValueSetter, getValueSetters
public ErrorDistribution()
public ErrorDistribution(double a, double b, double c)
public ErrorDistribution(double[] distData)
public ErrorDistribution(float[] distData)
public void initialize()
initialize
in class Distribution
public void valueChanged()
valueChanged
in class Distribution
public void setParameters(double a, double b, double c)
public void setLocation(double a)
public void setScale(double b)
public void setShape(double c)
public double getLocation()
public double getScale()
public double getShape()
public double getDensity(double x)
getDensity
in class Distribution
public double getMaxDensity()
getMaxDensity
in class Distribution
public double getMean()
getMean
in class Distribution
public double getMode()
public void paramEstimate(double[] distData)
paramEstimate
in class Distribution
public double getVariance()
getVariance
in class Distribution
public double getSD()
getSD
in class Distribution
public java.lang.String getOnlineDescription()
getOnlineDescription
in class Distribution