Autori
Harfouche, Lynda
Adjabi, Smail
Zougab, Nabil
Funke, Benedikt

Titolo
Multiplicative bias correction for discrete kernels
Periodico
Statistical methods & applications : Journal of the Italian Statistical Society
Anno: 2018 - Volume: 27 - Fascicolo: 2 - Pagina iniziale: 253 - Pagina finale: 276

In this paper, we prove that two multiplicative bias correction techniques (MBC) can be applied for discrete kernels in the context of probability mass function estimation. First, some properties of the MBC discrete kernel estimators (bias, variance and mean integrated squared error) are investigated. Second, the popular cross-validation technique is adapted for bandwidth selection. Finally, a simulation study and a real data application for discrete data illustrate the performance of the MBC estimators based on dirac discrete uniform and triangular discrete kernels.



SICI: 1618-2510(2018)27:2<253:MBCFDK>2.0.ZU;2-J

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