论文信息 - Strong consistency properties of nonparametric estimators for randomly censored data, II: Estimation of density and failure rate

Strong consistency properties of nonparametric estimators for randomly censored data, II: Estimation of density and failure rate

This article is Part II of a two-part study. Properties of the product-limit estimator established in the previous part [2] are now used to prove the strong consistency of some nonparametric density and failure rate estimators which can be used with randomly censored data.

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