The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method
Tanner, Martin A. ; Wong, Wing Hung
Ann. Statist., Tome 11 (1983) no. 1, p. 989-993 / Harvested from Project Euclid
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By convolution smoothing of the empirical hazards, a kernel estimate of the hazard function from censored data is obtained. Small and large sample expressions for the mean and the variance of the estimator are given. Conditions for asymptotic normality are investigated using the Hajek projection method.
Publié le : 1983-09-14
Classification:  Censored data,  hazard function,  kernel method,  Hajek's projection method,  62G05,  62P10 
@article{1176346265,
     author = {Tanner, Martin A. and Wong, Wing Hung},
     title = {The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method},
     journal = {Ann. Statist.},
     volume = {11},
     number = {1},
     year = {1983},
     pages = { 989-993},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176346265}
}

Tanner, Martin A.; Wong, Wing Hung. The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method. Ann. Statist., Tome 11 (1983) no. 1, pp.  989-993. http://gdmltest.u-ga.fr/item/1176346265/