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Extremes of Normed Empirical Moment Generating Function Processes

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Abstract

We present a method for deriving the limiting distribution of the maximum of a normed empirical moment generating function process indexed by one parameter. We first extend slightly the results of Csörgő et al. (1986b) to provide the rate of convergence for a Gaussian approximation to a non-Donsker empirical process. In cases we consider, the maximum tends to infinity in probability, but when appropriately scaled has a limiting Gumbel extreme value distribution.

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Correspondence to Michael Stewart.

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AMS 2000 Subject Classification

Primary—62E20, 60G70

*Author for correspondence: School of Mathematics and Statistics, University of Sydney, New South Wales 2006, Australia.

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Stewart, M., Robinson, J. Extremes of Normed Empirical Moment Generating Function Processes. Extremes 6, 319–333 (2003). https://doi.org/10.1007/s10687-004-4723-1

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