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Teoriya Veroyatnostei i ee Primeneniya, 1995, Volume 40, Issue 3, Pages 654–657 (Mi tvp3463)  
Short Communications

The rate of convergence in limit theorems for max-semistable laws

I. V. Grinevich

Steklov Mathematical Institute, Russian Academy of Sciences
Full-text PDF (262 kB)
Abstract: Estimates of the rate of convergence in limit theorems in the max-scheme of independent identically distributed random variables (i.i.d.r.v.'s) under linear and power normalizations, when the maximum is taken over a subsequence of natural numbers $k(n)$ are obtained.
Keywords: max-semistable law, linear and power normalizations, rate of convergence, ideal metric, the method of metric distances, convolutions method, regular estimate.
Received: 15.11.1993
English version:
Theory of Probability and its Applications, 1995, Volume 40, Issue 3, Pages 546–549
DOI: https://doi.org/10.1137/1140059
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. V. Grinevich, “The rate of convergence in limit theorems for max-semistable laws”, Teor. Veroyatnost. i Primenen., 40:3 (1995), 654–657; Theory Probab. Appl., 40:3 (1995), 546–549
Citation in format AMSBIB
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\pages 654--657
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\transl
\jour Theory Probab. Appl.
\yr 1995
\vol 40
\issue 3
\pages 546--549
\crossref{https://doi.org/10.1137/1140059}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1996VN31700014}
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