Deviation between Smooth Empirical and Quantile Processes for Mixing Random Variables

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  Let(F)n be the smooth empirical distribution obtained by integrating a kernel type density estimator based on a random sample of size n from continuous distribution function F.The almost sure deviation between smooth empirical and smooth quantile processes is investigated under φ-mixing and strong mixing conditions.
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