Previous article Next article Random Curvilinear Integrals and Their ApplicationsB. P. HarlamovB. P. Harlamovhttps://doi.org/10.1137/1135005PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] V. P. Harlamov, The connection between random curves, time changes and regeneration moments of random processes, Zap. Naučn. Sem. Leningrad. Otdel. Mat. Inst. Steklov. (LOMI), 55 (1976), 128–164, 201, (In Russian.) 55:6565 0345.60021 Google Scholar[2] B. P. Harlamov, Distribution of the passage of time with respect to a sequence of states in a semi-Markov process, Zap. Nauchn. Sem. Leningrad. Otdel. Mat. Inst. Steklov. (LOMI), 142 (1985), 167–173, 200, (In Russian.) 86j:60200 Google Scholar[3] B. P. Harlamov, Continuous semi-Markov processes and an extremal property of Markov processes, Proceedings of the seventh conference on probability theory (Braşov, 1982), VNU Sci. Press, Utrecht, 1985, 423–430 88b:60196 0589.60071 Google Scholar[4] R. V. Chacon, , Y. Le Zan and , J. B. Walsh, Spatial trajectoriesSeminar on Probability, XV (Univ. Strasbourg, Strasbourg, 1979/1980) (French), Lecture Notes in Math., Vol. 850, Springer, Berlin, 1981, 290–306 82k:60146 0454.60036 CrossrefGoogle Scholar[5] A. Gut and , P. Ahlberg, On the theory of chromatography based upon renewal theory and a central limit theorem for randomly indexed partial sums of random variables, Chemica Scripta, 18 (1981), 248–255 Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Continuous Semi-Markov Models for Chromatography Cross Ref Volume 35, Issue 1| 1991Theory of Probability & Its Applications History Submitted:29 June 1987Published online:17 July 2006 InformationCopyright © Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1135005Article page range:pp. 54-65ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics