Package | Description |
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dev.nm.stat.evt.evd.univariate.fitting.acer |
Modifier and Type | Method and Description |
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NonlinearFit.Result |
NonlinearFit.fit(double[] eta,
double[] epsilon,
double[] confWidth,
double peakMean,
double tailMarker)
Fit the ACER function with the input values of barrier levels, epsilons, confidence
intervals, and the mean of the peaks.
|
NonlinearFit.Result |
NonlinearFit.fit(EmpiricalACER estimates,
double tailMarker)
Fit ACER function with empirical ACER estimates.
|
NonlinearFit.Result |
NonlinearFit.fitWithWeights(double[] eta,
double[] epsilon,
double[] weights,
double peakMean,
double minLevel,
double tailMarker)
Fit the ACER function with the input values of barrier levels, epsilons, confidence
intervals, and the mean of the peaks.
|
NonlinearFit.Result |
NonlinearFit.fitWithWeightsAndInitial(double[] eta,
double[] epsilon,
double[] weights,
ACERFunction.ACERParameter initial,
double minLevel,
double tailMarker) |
NonlinearFit.Result |
ACERAnalysis.Result.getFitResult()
Get the fitted parameter.
|
Constructor and Description |
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Result(NonlinearFit.Result fitResult,
ACERConfidenceInterval confidenceInterval,
ACERReturnLevel returnLevel,
EmpiricalACER estimates) |
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