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Part of the book series: Springer Series in Statistics ((SSS))

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Abstract

Larger parts of this book are centered upon mixed empirical processes that concern random samples

$${X_1},{X_2},...,{X_\zeta }$$

where X1, X2, X3, ... are independent, identically distributed (i.i.d.) random elements in the basic space S, and ζ is a random sample size that is independent of the X i . The present chapter will provide a detailed discussion of special mixed empirical processes, namely, of binomial processes and Poisson processes with finite intensity measures. In these cases the random sample size ζ is a binomial and, respectively, a Poisson random variable (r.v.). Further examples of mixed empirical processes and a thorough treatment of that subject may be found in Section 2.2.

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© 1993 Springer-Verlag New York, Inc.

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Reiss, RD. (1993). Strong Approximation. In: A Course on Point Processes. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9308-5_1

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  • DOI: https://doi.org/10.1007/978-1-4613-9308-5_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9310-8

  • Online ISBN: 978-1-4613-9308-5

  • eBook Packages: Springer Book Archive

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