三角洲序列比具有很强的一致性

Wladyslaw Poniatowski, R. Weißbach
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引用次数: 0

摘要

函数的比值几乎肯定的收敛性为各种估计和数据代建立了全局和局部的强一致性。例如,涵盖了独立同分布随机向量的经验概率函数,单变量独立同分布观测值的经验分布以及右截尾和左截尾数据的核风险率估计。收敛速率来源于Bennett-Hoeffding不等式。
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Strong consistency for delta sequence ratios
Almost sure convergence for ratios of delta functions establishes global and local strong consistency for a variety of estimates and data generations. For instance, the empirical probability function from independent identically distributed random vectors, the empirical distribution for univariate independent identically distributed observations, and the kernel hazard rate estimate for right-censored and left-truncated data are covered. The convergence rates derive from the Bennett-Hoeffding inequality.
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