On kernel density and mode estimates for associated and censored data

DOI10.1080/03610926.2013.867996zbMath1338.62081OpenAlexW1995371033MaRDI QIDQ2811393

Yacine Ferrani, Abdelkader Tatachak, Elias Ould Saïd

Publication date: 10 June 2016

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

Full work available at URL: https://doi.org/10.1080/03610926.2013.867996

zbMATH Keywords

rate of convergenceKaplan-Meier estimatorcensored datastrong uniform consistencyassociated datakernel mode estimation

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (4)

Asymptotic results for truncated-censored and associated data ⋮ Kernel conditional density and mode estimation for psi-weakly dependent observations ⋮ A note on estimating the conditional expectation under censoring and association: strong uniform consistency ⋮ Convergence rate of the kernel regression estimator for associated and truncated data

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• Non-uniform and uniform Berry–Esseen type bounds for stationary associated sequences
• Association of Random Variables, with Applications
• On Estimation of a Probability Density Function and Mode

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