A note on data-adaptive kernel estimation of the hazard and density function in the random censorship situation
type: Item
instance of: scholarly article
title: A note on data-adaptive kernel estimation of the hazard and density function in the random censorship situation
zbMATH Open document ID: 0606.62040
author: Helmut Schäfer
published in: The Annals of Statistics
publication date: 1985-01-01T00:00:00Z
review text: In a recent paper, \textit{M. A. Tanner} [ibid. 11, 994-998 (1983; Zbl 0542.62029)] proves pointwise consistency of a variable bandwidth kernel estimator for the hazard function. In the present note, a simplified proof of uniform consistency of a data-adaptive kernel estimator with certain additional advantages is given.
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 3980243
zbMATH Keywords: density function
zbMATH Keywords: random censorship
zbMATH Keywords: hazard function
zbMATH Keywords: sample-point- dependent bandwidths
zbMATH Keywords: uniform consistency
zbMATH Keywords: data-adaptive kernel estimator
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1214/aos/1176349560
OpenAlex ID: W2003538991
DOI: 10.1214/AOS/1176349560
Recommended article: Q5114795
Recommended article: Q4332234
Recommended article: A note on the variable kernel estimator of the hazard function from randomly censored data
Recommended article: Q3707119
Recommended article: Kernel density and hazard function estimation in the presence of censoring
Recommended article: The estimation of the hazard function from randomly censored data by the kernel method
Recommended article: On consistency of kernel density estimators for randomly censored data: Rates holding uniformly over adaptive intervals
Recommended article: Q4218221
Recommended article: Some asymptotic properties of kernel estimators of a density function in case of censored data
description: scientific article; zbMATH DE number 3980243