Package jslx.statistics
Class SNDiagnosticExperiment.FactorOutputData
- java.lang.Object
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- jslx.statistics.SNDiagnosticExperiment.FactorOutputData
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- Enclosing class:
- SNDiagnosticExperiment
public static class SNDiagnosticExperiment.FactorOutputData extends java.lang.Object
A addFactor output data class to hold data produced for each addFactor by the SNDiagnosticExperiment
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
getCovMeanVarFactor()
The estimated covariance of the mean, variance of the addFactor distribution 2nd column page 898 Song and Nelson, without approximationdouble
getFourthCentralMoment()
double
getMeanSlope()
java.lang.String
getName()
int
getNumSamples()
double
getSampleSizeSensitivity()
The estimate of the sample size uncertainty of the addFactor distribution Equation 13 page 899 of Song and Nelsondouble
getSecondCentralMoment()
double
getThirdCentralMoment()
double
getUnCertaintyContribution()
The estimated uncertainty contribution of the addFactor distribution 2nd column, page 896 Song and Nelson, equation 7double
getVarMeanFactor()
The estimated variance of the mean of the addFactor distribution 2nd column page 898 Song and Nelsondouble
getVarSlope()
double
getVarVarianceFactor()
The estimated variance of the variance of the addFactor distribution 2nd column page 898 Song and Nelson, without approximationjava.lang.String
toString()
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Method Detail
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getName
public final java.lang.String getName()
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getNumSamples
public final int getNumSamples()
- Returns:
- the number of samples m(l) taken in the original input model
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getSecondCentralMoment
public final double getSecondCentralMoment()
- Returns:
- the 2nd central moment of the input model
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getThirdCentralMoment
public final double getThirdCentralMoment()
- Returns:
- the 3rd central moment of the input model
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getFourthCentralMoment
public final double getFourthCentralMoment()
- Returns:
- the fourth central moment of the input model
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getMeanSlope
public final double getMeanSlope()
- Returns:
- the regression estimate of the slope for the mean
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getVarSlope
public final double getVarSlope()
- Returns:
- the regression estimate of the slope for the variance
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getVarMeanFactor
public final double getVarMeanFactor()
The estimated variance of the mean of the addFactor distribution 2nd column page 898 Song and Nelson- Returns:
- The variance of the mean of the addFactor distribution
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getVarVarianceFactor
public final double getVarVarianceFactor()
The estimated variance of the variance of the addFactor distribution 2nd column page 898 Song and Nelson, without approximation- Returns:
- The variance of the variance of the addFactor distribution
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getCovMeanVarFactor
public final double getCovMeanVarFactor()
The estimated covariance of the mean, variance of the addFactor distribution 2nd column page 898 Song and Nelson, without approximation- Returns:
- The covariance of the mean, variance of the addFactor distribution
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getUnCertaintyContribution
public final double getUnCertaintyContribution()
The estimated uncertainty contribution of the addFactor distribution 2nd column, page 896 Song and Nelson, equation 7- Returns:
- The estimated uncertainty contribution of the addFactor distribution
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getSampleSizeSensitivity
public final double getSampleSizeSensitivity()
The estimate of the sample size uncertainty of the addFactor distribution Equation 13 page 899 of Song and Nelson- Returns:
- The estimate of the sample size uncertainty of the addFactor distribution
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toString
public java.lang.String toString()
- Overrides:
toString
in classjava.lang.Object
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