A Note on the Variable Kernel Estimator of the Hazard Function from Randomly Censored Data

作者: Martin A. Tanner

DOI: 10.1214/AOS/1176346266

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摘要: In a recent paper (Tanner and Wong, 1983b), family of data-based nonparametric hazard estimators was introduced. Several these were studied in an extensive simulation experiment. The estimator which allows for variable bandwidth found to have superior performance. this note, sufficient conditions the kernel be strongly consistent are presented.

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