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