A Berry-Esseen Type Bound in Kernel Density Estimation for a Random Left-Truncation Model

DOI10.5351/CSAM.2014.21.2.115zbMath1305.62159OpenAlexW2121159748MaRDI QIDQ5171908

Vahid Fakoor, Petros Asghari, Majid Sarmad

Publication date: 12 February 2015

Published in: Communications for Statistical Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5351/csam.2014.21.2.115

zbMATH Keywords

rate of convergenceasymptotic normalitykernel density estimationleft-truncationBerry-Esseen

Mathematics Subject Classification ID

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

Related Items (2)

The Berry–Esseen-type bound for the G-M estimator in a nonparametric regression model with α-mixing errors ⋮ A Berry-Esseen type bound for the kernel density estimator based on a weakly dependent and randomly left truncated data

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