Uses of Class
dev.nm.stat.evt.evd.univariate.fitting.acer.ACERFunction.ACERParameter
-
Packages that use ACERFunction.ACERParameter Package Description dev.nm.stat.evt.evd.univariate.fitting.acer -
-
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.ACERParameterLinearFit. fit(double[] eta, double[] epsilon, double peakMean)Fit the ACER function with OLS.ACERFunction.ACERParameterACERConfidenceInterval. getLowerParameter()ACERFunction.ACERParameterNonlinearFit.Result. getParameter()ACERFunction.ACERParameterACERConfidenceInterval. getUpperParameter()Methods in dev.nm.stat.evt.evd.univariate.fitting.acer with parameters of type ACERFunction.ACERParameter Modifier and Type Method Description static doubleNonlinearFit. 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.ResultNonlinearFit. 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.
-