The Estimation of the Hazard Function from Randomly Censored Data by the Kernel Method
Open Access
- 1 September 1983
- journal article
- Published by Institute of Mathematical Statistics in The Annals of Statistics
- Vol. 11 (3) , 989-993
- https://doi.org/10.1214/aos/1176346265
Abstract
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.Keywords
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