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Teoriya Veroyatnostei i ee Primeneniya, 1999, Volume 44, Issue 1, Pages 74–86
DOI: https://doi.org/10.4213/tvp598
(Mi tvp598)
 

This article is cited in 8 scientific papers (total in 8 papers)

On compound Poisson approximations under moment restrictions

V. Čekanavičius

Vilnius University
Abstract: We consider the analogue of the first uniform Kolmogorov theorem in the scheme of series. Zaitsev's hypothesis on accuracy of approximation is partially confirmed. As approximations we use compound Poisson approximations and compound Poisson measures with a sign.
Keywords: compound Poisson distribution, variation, uniform distance.
Received: 12.05.1997
English version:
Theory of Probability and its Applications, 2000, Volume 44, Issue 1, Pages 18–28
DOI: https://doi.org/10.1137/S0040585X97977343
Bibliographic databases:
Language: Russian
Citation: V. Čekanavičius, “On compound Poisson approximations under moment restrictions”, Teor. Veroyatnost. i Primenen., 44:1 (1999), 74–86; Theory Probab. Appl., 44:1 (2000), 18–28
Citation in format AMSBIB
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\by V.~{\v C}ekanavi{\v{c}}ius
\paper On compound Poisson approximations under moment restrictions
\jour Teor. Veroyatnost. i Primenen.
\yr 1999
\vol 44
\issue 1
\pages 74--86
\mathnet{http://mi.mathnet.ru/tvp598}
\crossref{https://doi.org/10.4213/tvp598}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1751189}
\zmath{https://zbmath.org/?q=an:0958.60010}
\transl
\jour Theory Probab. Appl.
\yr 2000
\vol 44
\issue 1
\pages 18--28
\crossref{https://doi.org/10.1137/S0040585X97977343}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000087555000002}
Linking options:
  • https://www.mathnet.ru/eng/tvp598
  • https://doi.org/10.4213/tvp598
  • https://www.mathnet.ru/eng/tvp/v44/i1/p74
  • This publication is cited in the following 8 articles:
    1. S. Y. Novak, “On Poisson Approximation”, J Theor Probab, 2024  crossref
    2. Ya. S. Golikova, A. Yu. Zaitsev, “O tochnosti bezgranichno delimoi approksimatsii n-kratnykh svertok veroyatnostnykh raspredelenii”, Veroyatnost i statistika. 33, Zap. nauchn. sem. POMI, 515, POMI, SPb., 2022, 83–90  mathnet
    3. V. Čekanavičius, S. Y. Novak, “Compound Poisson approximation”, Probab. Surveys, 19:none (2022)  crossref
    4. M. A. Lifshits, Ya. Yu. Nikitin, V. V. Petrov, A. Yu. Zaitsev, A. A. Zinger, “Toward the history of the Saint Petersburg school of probability and statistics. I. Limit theorems for sums of independent random variables”, Vestn. St Petersb. Univ. Math., 51:2 (2018), 144–163  crossref  crossref  mathscinet  zmath  isi  elib  scopus
    5. Cekanavicius V., “Approximation Methods in Probability Theory”, Approximation Methods in Probability Theory, Universitext, Springer International Publishing Ag, 2016, 1–274  crossref  mathscinet  isi
    6. Pavel Samusenko, Nonparametric criteria for sparse contingency tables, 2012  crossref
    7. D. N. Karymov, “On the decomposition of lattice distributions into convolutions of Poisson signed measures”, Theory Probab. Appl., 49:3 (2005), 545–552  mathnet  crossref  crossref  mathscinet  zmath  isi
    8. Cekanavicius V., “Infinitely divisible approximations for discrete nonlattice variables”, Advances in Applied Probability, 35:4 (2003), 982–1006  crossref  mathscinet  zmath  isi  scopus
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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