A new smoothness quantification in kernel density estimation

DOI10.1016/0378-3758(91)90049-KzbMath0729.62032OpenAlexW2035737001MaRDI QIDQ806851

Rohana J. Karunamuni

Publication date: 1991

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(91)90049-k

zbMATH Keywords

rates of convergencekernel density estimatormean square errorLipschitz conditionnew smoothness quantificationr-th order differenceupper bound for the bias

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Erd?s problems and related topics of discrete geometry (52C10)

Related Items (1)

Weak and strong uniform consistency rates of kernel density estimates for randomly censored data

Cites Work

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