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handle: 2099/11229 , 2445/111235 , 20.500.11797/RP2311
A double transformation kernel density estimator that is suitable for heavy-tailed distributions is presented. Using a double transformation, an asymptotically optimal bandwidth parameter can be calculated when minimizing the expression of the asymptotic mean integrated squared error of the transformed variable. Simulation results are presented showing that this approach performs better than existing alternatives. An application to insurance claim cost data is included
Peer Reviewed
Estadística matemàtica, Beta density, Right skewness., Kernel density estimation, Transformations, Functional analysis, Right skewness, :62 Statistics::62G Nonparametric inference [Classificació AMS], Mathematical statistics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Anàlisi funcional, Econometrics, Classificació AMS::62 Statistics::62G Nonparametric inference, Econometria
Estadística matemàtica, Beta density, Right skewness., Kernel density estimation, Transformations, Functional analysis, Right skewness, :62 Statistics::62G Nonparametric inference [Classificació AMS], Mathematical statistics, Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica, :Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC], Anàlisi funcional, Econometrics, Classificació AMS::62 Statistics::62G Nonparametric inference, Econometria
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