A new class of boundary kernels for distribution function estimation

DOI10.1080/03610926.2017.1390131OpenAlexW2763573298MaRDI QIDQ5075566

Carlos Tenreiro

Publication date: 16 May 2022

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

Full work available at URL: http://hdl.handle.net/10316/80928

zbMATH Keywords

kernel estimatordistribution function estimationboundary kernels

Mathematics Subject Classification ID

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

Uses Software

• KernSmooth

Cites Work

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• A general result on the uniform in bandwidth consistency of kernel-type function estimators
• A note on the universal consistency of the kernel distribution function estimator
• An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation
• The performance of kernel density functions in kernel distribution function estimation
• Fourier methods for smooth distribution function estimation
• Boundary modification for kernel regression
• Smooth optimum kernel estimators near endpoints
• Strong uniform consistency of integrals of density estimators
• Convergence rate of perturbed empirical distribution functions
• Nonparametric Statistical Data Modeling
• Some New Estimates for Distribution Functions

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