Limit theorems for random symmetric functions |
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Authors: | Gy Michaletzky L Szeidl |
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Institution: | 1. Department of Probability Theory and Statistics, E?tv?s Loránd University, Budapest, Hungary
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Abstract: | In this paper, based on theorems for limit distributions of empirical power processes for the i.i.d. case and for the case
with independent triangular arrays of random variables, we prove limit theorems for U- and V-statistics determined by generalized
polynomial kernel functions. We also show that under some natural conditions the limit distributions can be represented as
functionals on the limit process of the normed empirical power process. We consider the one-sample case, as well as multi-sample
cases.
Dedicated to Professor V. M. Zolotarev on his sixty-fifth birthday.
Supported by the Hungarian National Foundation for Scientific Research (grant No. T1666).
Proceedings of the Seminar on Stability Problems for Stochastic Models, Moscow, Russia, 1996, Part I. |
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Keywords: | |
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