A Note on the Variable Kernel Estimator of the Hazard Function from Randomly Censored Data
Tanner, Martin A.
Ann. Statist., Tome 11 (1983) no. 1, p. 994-998 / Harvested from Project Euclid
In a recent paper (Tanner and Wong, 1983b), a family of data-based nonparametric hazard estimators was introduced. Several of these estimators were studied in an extensive simulation experiment. The estimator which allows for variable bandwidth was found to have a superior performance. In this note, sufficient conditions for the variable kernel estimator to be strongly consistent are presented.
Publié le : 1983-09-14
Classification:  Hazard function,  variable kernel,  nearest neighbor,  random censoring,  nonparametric estimation,  62P10,  62G05,  65D10
@article{1176346266,
     author = {Tanner, Martin A.},
     title = {A Note on the Variable Kernel Estimator of the Hazard Function from Randomly Censored Data},
     journal = {Ann. Statist.},
     volume = {11},
     number = {1},
     year = {1983},
     pages = { 994-998},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176346266}
}
Tanner, Martin A. A Note on the Variable Kernel Estimator of the Hazard Function from Randomly Censored Data. Ann. Statist., Tome 11 (1983) no. 1, pp.  994-998. http://gdmltest.u-ga.fr/item/1176346266/