Uses of Class
dev.nm.stat.evt.evd.univariate.fitting.acer.NonlinearFit.Result
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Packages that use NonlinearFit.Result Package Description dev.nm.stat.evt.evd.univariate.fitting.acer -
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Uses of NonlinearFit.Result in dev.nm.stat.evt.evd.univariate.fitting.acer
Methods in dev.nm.stat.evt.evd.univariate.fitting.acer that return NonlinearFit.Result Modifier and Type Method Description 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.Constructors in dev.nm.stat.evt.evd.univariate.fitting.acer with parameters of type NonlinearFit.Result Constructor Description Result(NonlinearFit.Result fitResult, ACERConfidenceInterval confidenceInterval, ACERReturnLevel returnLevel, EmpiricalACER estimates)
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