论文信息 - The strong law under semiparametric random censorship models

The strong law under semiparametric random censorship models

We study integrals for arbitrary Borel-measurable functions with respect to a semiparametric estimator of the distribution function in the random censorship model. A strong law for these integrals is established which generalizes a corresponding result for the Cheng and Lin estimator.

Gerhard Dikta | G. Dikta

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