A class of Birnbaum-Saunders type kernel density estimators for nonnegative data

DOI10.1016/j.csda.2021.107249OpenAlexW3155070819MaRDI QIDQ2242028

Yoshihide Kakizawa

Publication date: 9 November 2021

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

Full work available at URL: https://doi.org/10.1016/j.csda.2021.107249

zbMATH Keywords

nonparametric density estimationboundary bias problemAzzalini's type skew distributionBirnbaum-saunder distributionepsilon-skew-symmetric distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Unnamed Item ⋮ Asymptotic properties of Dirichlet kernel density estimators ⋮ Multivariate elliptical-based Birnbaum-Saunders kernel density estimation for nonnegative data ⋮ Recursive asymmetric kernel density estimation for nonnegative data

Uses Software

• KernSmooth
• sn

Cites Work

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