Titlebook: Empirical Process Techniques for Dependent Data; Herold Dehling,Thomas Mikosch,Michael Sørensen Book 20021st edition Springer Science+Busi

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The Reduction Principle for the Empirical Process of a Long Memory Linear Process) of .., ..:.uniformly in .., .., where .. = (.., ..) and .(.) is the marginal probability density. An easy consequence of the reduction principle is the functional CLT for the empirical process. An application of the last result to the change-point problem of the marginal c.d.f. is discussed.

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On the Bootstrap and Empirical Processes for Dependent Sequencesed to mathematical techniques behind the theory. Although some results presented here are new (bootstrap for Markov chains), this is not a research paper, and the presented proofs do not contain all the details.

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Empirical Process Techniques for Dependent Datatral limit theorems for partial sums. The empirical process of weakly dependent data is investigated in the fourth section, where we put special emphasis on almost sure approximation techniques. The fifth section is devoted to the empirical distribution of U-statistics, defined as.for some symmetric

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Dosierung von Depotneuroleptika,tral limit theorems for partial sums. The empirical process of weakly dependent data is investigated in the fourth section, where we put special emphasis on almost sure approximation techniques. The fifth section is devoted to the empirical distribution of U-statistics, defined as.for some symmetric

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