Limiting bias-reduced Amoroso kernel density estimators for non-negative data

DOI10.1080/03610926.2017.1380832OpenAlexW2754251488MaRDI QIDQ5031686

Yoshihide Kakizawa, Gaku Igarashi

Publication date: 16 February 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://tsukuba.repo.nii.ac.jp/record/41698/files/1349.pdf

zbMATH Keywords

bias reductionnonparametric density estimationasymmetric kernelboundary bias problemAmoroso kernel

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items

A class of Birnbaum-Saunders type kernel density estimators for nonnegative data, Multiplicative bias correction for asymmetric kernel density estimators revisited, Asymptotic properties of Dirichlet kernel density estimators, Higher-order bias corrections for kernel type density estimators on the unit or semi-infinite interval

Uses Software

• KernSmooth

Cites Work

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