Uses of Class
dev.nm.stat.evt.evd.univariate.fitting.acer.ACERFunction.ACERParameter
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Packages that use ACERFunction.ACERParameter Package Description dev.nm.stat.evt.evd.univariate.fitting.acer -
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Uses of ACERFunction.ACERParameter in dev.nm.stat.evt.evd.univariate.fitting.acer
Methods in dev.nm.stat.evt.evd.univariate.fitting.acer that return ACERFunction.ACERParameter Modifier and Type Method Description ACERFunction.ACERParameter
LinearFit. fit(double[] eta, double[] epsilon, double peakMean)
Fit the ACER function with OLS.ACERFunction.ACERParameter
ACERConfidenceInterval. getLowerParameter()
ACERFunction.ACERParameter
NonlinearFit.Result. getParameter()
ACERFunction.ACERParameter
ACERConfidenceInterval. getUpperParameter()
Methods in dev.nm.stat.evt.evd.univariate.fitting.acer with parameters of type ACERFunction.ACERParameter Modifier and Type Method Description static double
NonlinearFit. computeWeightedRSS(ACERFunction.ACERParameter param, double[] barrierLevels, double[] epsilons, double[] weights)
Measure how fit the estimated log-ACER function to the empirical epsilons by weighted sum of squared residuals (RSS).NonlinearFit.Result
NonlinearFit. fitWithWeightsAndInitial(double[] eta, double[] epsilon, double[] weights, ACERFunction.ACERParameter initial, double minLevel, double tailMarker)
Constructors in dev.nm.stat.evt.evd.univariate.fitting.acer with parameters of type ACERFunction.ACERParameter Constructor Description ACERConfidenceInterval(ACERFunction.ACERParameter parameter, EmpiricalACER estimates, double N, double tailMarker)
ACERFunction(ACERFunction.ACERParameter param)
ACERInverseFunction(ACERFunction.ACERParameter param)
ACERLogFunction(ACERFunction.ACERParameter param)
Create an instance with the ACER function parameter.ACERReturnLevel(ACERFunction.ACERParameter parameter, double N)
Create an instance with the (estimated) ACER function parameter and the total number of events.
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