Central Limit Theorem for ISE of Kernel Density Estimators in Censored Dependent Model

DOI10.1080/03610926.2010.542849zbMath1319.62084OpenAlexW2065552250MaRDI QIDQ3168536

Hasanali Azarnoosh, Vahid Fakoor, Sarah Jomhoori

Publication date: 31 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2010.542849

zbMATH Keywords

bandwidthkernel density estimatorKaplan-Meier estimatorintegrated square error\(\alpha\)-mixingcensored dependent data

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Estimation in survival analysis and censored data (62N02)

Related Items

Some heuristics about bandwidth selection for the smooth Kaplan-Meier estimator, Integrated square error of hazard rate estimation for survival data with missing censoring indicators, CLT for integrated square error of density estimators with censoring indicators missing at random

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