In a recent paper, Tanner (1983) 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.
Publié le : 1985-06-14
Classification:
Nonparametric estimation,
density function,
hazard function,
kernel estimators,
sample-point-dependent bandwidths,
random censorship model,
62P10,
62G05,
65D10
@article{1176349560,
author = {Schafer, Helmut},
title = {A Note on Data-Adaptive Kernel Estimation of the Hazard and Density Function in the Random Censorship Situation},
journal = {Ann. Statist.},
volume = {13},
number = {1},
year = {1985},
pages = { 818-820},
language = {en},
url = {http://dml.mathdoc.fr/item/1176349560}
}
Schafer, Helmut. A Note on Data-Adaptive Kernel Estimation of the Hazard and Density Function in the Random Censorship Situation. Ann. Statist., Tome 13 (1985) no. 1, pp. 818-820. http://gdmltest.u-ga.fr/item/1176349560/