On the Joint Frequency Distribution of Outcomes in Markov Chains with a Large Number of States
P. F. Belyaev · Theory of Probability and Its Applications · 1978
Previous article Next article On the Joint Frequency Distribution of Outcomes in Markov Chains with a Large Number of StatesP. F. BelyaevP. F. Belyaevhttps://doi.org/10.1137/1122062PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Maurice Parodi, La localisation des valeurs caractéristiques des matrices et ses applications. Préface de H. Villat, Traité de Physique Théorique et de Physique Mathématique, XII, Gauthier-Villars, Paris, 1959xi+172 MR0110719 (22:1587) 0087.01602 Google Scholar[2] William Feller, An introduction to probability theory and its applications. Vol. I, John Wiley and Sons, Inc., New York, 1957xv+461 MR0088081 (19,466a) 0077.12201 Google Scholar[3] N. V. Smirnov, On approximation of distribution densities of random variablesTheory of Probability and Mathematical Statistics, Selected Works, Nauka, Moscow, 1970, 205–223, (In Russian.) Google Scholar[4] G. M. Maniya, Statistical Estimation of Probability Distribution, Izd-vo Tbilisskogo Un-ta, Tbilisi, 1974, (In Russian.) Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Estimates of accuracy of the Poisson approximation for the distribution of number of runs of long string repetitions in a Markov chainDiscrete Mathematics and Applications, Vol. 26, No. 2 Cross Ref Volume 22, Issue 3| 1978Theory of Probability & Its Applications History Submitted:30 September 1975Published online:28 July 2006 InformationCopyright © 1978 © Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1122062Article page range:pp. 521-532ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics