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Previous article Next article Convergence of Distributions of Sums of Independent Random Variables with Values in Hilbert SpaceV. M. KruglovV. M. Kruglovhttps://doi.org/10.1137/1116032PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout"Convergence of Distributions of Sums of Independent Random Variables with Values in Hilbert Space." Theory of Probability & Its Applications, 16(2), pp. 350–351[1] Vladimir M. Zolotarev, Théorèmes limites généraux pour les sommes de variables aléatoires indépendantes, C. R. Acad. Sci. Paris Sér. A-B, 270 (1970), A899–A902 MR0261671 0212.50101 Google Scholar[2] K. R. Parthasarathy, Probability measures on metric spaces, Probability and Mathematical Statistics, No. 3, Academic Press Inc., New York, 1967xi+276, London MR0226684 0153.19101 CrossrefGoogle Scholar[3] Yu. V. Prokhorov, Convergence of random processes and limit theorems in probability theory, Theory Prob. Applications, 1 (1956), 157–214 10.1137/1101016 LinkGoogle Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails Summaries of Papers Presented at the Sessions of the Probability and Statistics Section of the Moscow Mathematical Society (December 1974–October 1975)Theory of Probability & Its Applications, Vol. 21, No. 1 | 17 July 2006AbstractPDF (971 KB) Volume 16, Issue 2| 1971Theory of Probability & Its Applications199-399 History Submitted:25 December 1970Published online:17 July 2006 InformationCopyright © Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1116032Article page range:pp. 350-351ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics
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