基于k-间隔过程的经验过程的振荡模量的强极限

G. Lo
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引用次数: 0

摘要

最近,在iid情况下,给出了经验过程的振荡模的几个强极限定理。我们表明,在非常微小的差异下,这些强有力的结果也可以用于基于均匀分布在$(0,1)$上的独立随机变量(rv)序列生成的(非重叠)k间隔的简化经验过程的一些表示。这就产生了上述过程的弱限制。我们的研究包括步长k无界的情况。这些结果主要是由关于参数为k和1的函数的增量的几个性质推导出来的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strong limits related to the oscillation modulus of the empirical process based on the k-spacing process
Recently, several strong limit theorems for the oscillation moduli of the empirical process have been given in the iid-case. We show that, with very slight differences, those strong results are also obtained for some representation of the reduced empirical process based on the (non-overlapping) k-spacings generated by a sequence of independent random variables (rv's) uniformly distributed on $(0,1)$. This yields weak limits for the mentioned process. Our study includes the case where the step k is unbounded. The results are mainly derived from several properties concerning the increments of gamma functions with parameters k and one.
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