Multiplicative bias correction for asymmetric kernel density estimators revisited

DOI10.1016/j.csda.2019.06.010OpenAlexW2955205486MaRDI QIDQ2007997

Yoshihide Kakizawa, Gaku Igarashi

Publication date: 22 November 2019

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2241/00153036

zbMATH Keywords

nonparametric density estimationasymmetric kernelshoulder conditionmultiplicative bias correctionboundary bias problem

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Density estimation (62G07)

Related Items

Multivariate non-central Birnbaum-Saunders kernel density estimator for nonnegative data, New classes of density estimates of low bias, Unnamed Item, A class of Birnbaum-Saunders type kernel density estimators for nonnegative data, Asymptotic properties of Dirichlet kernel density estimators, Multivariate elliptical-based Birnbaum-Saunders kernel density estimation for nonnegative data, Higher-order bias corrections for kernel type density estimators on the unit or semi-infinite interval, Recursive asymmetric kernel density estimation for nonnegative data

Uses Software

• KernSmooth

Cites Work

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