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The estimation of the hazard function from randomly censored data by the kernel method. (English) Zbl 0546.62017
Summary: 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.

MSC:
62G05 Nonparametric estimation
62P10 Applications of statistics to biology and medical sciences; meta analysis
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