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This article is cited in 19 scientific papers (total in 19 papers)
Merging to semistable laws
S. Csörgöa, Z. Megyesiab a University of Szeged
b University of Michigan
Abstract:
We show that, despite the lack of asymptotic distributions in the usual sense, the distribution functions of suitably centered and normalized partial sums of independent and identically distributed random variables from the domain of geometric partial attraction of a semistable law merge together uniformly with a family of semistable distribution functions. More generally, even the corresponding, possibly lightly trimmed sums merge. Analogous merge results hold also for sample extremes. The main result is illustrated on generalized St. Petersburg games.
Keywords:
semistable laws, domains of geometric partial attraction, merge, lightly trimmed sums, sample extremes, generalized St. Petersburg games.
Received: 16.08.1999
Citation:
S. Csörgö, Z. Megyesi, “Merging to semistable laws”, Teor. Veroyatnost. i Primenen., 47:1 (2002), 90–109; Theory Probab. Appl., 47:1 (2003), 17–33
Linking options:
https://www.mathnet.ru/eng/tvp2999https://doi.org/10.4213/tvp2999 https://www.mathnet.ru/eng/tvp/v47/i1/p90
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