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Asymptotic expansions for first passage times

dc.contributor.authorWoodroofe, Michael B.en_US
dc.date.accessioned2006-04-07T20:18:13Z
dc.date.available2006-04-07T20:18:13Z
dc.date.issued1988-06en_US
dc.identifier.citationWoodroofe, Michael (1988/06)."Asymptotic expansions for first passage times." Stochastic Processes and their Applications 28(2): 301-315. <http://hdl.handle.net/2027.42/27279>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V1B-46KC41P-9/2/c9ed2618a41f407ea793441e2b202c71en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27279
dc.description.abstractLet F be a strongly non-lattice distribution function with a positive mean, a positive variance, and a finite third moment. Let X1, X2,... be i.i.d. with common distribution function F; and let Sn=X1+...+Xn, and ta = inf{n[ges]1:Sn &gt; a} for n [ges] 1 and a &gt;0. The main result reported here is a two term asymptotic expansion for Ha(n, z) = P{ta n, Sn - a [les] z } as a --&gt; [infinity]. Assuming higher moments, a three term expansion for P{ta [les] n} and refined estimates for the probability of ruin in finite time are obtained as simple corollaries. A key tool is an asymptotic expansion in Stone's formulation of the local limit theorem.en_US
dc.format.extent917500 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleAsymptotic expansions for first passage timesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Statistics, The University of Michigan, Ann Arbor, MI, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27279/1/0000295.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0304-4149(88)90103-2en_US
dc.identifier.sourceStochastic Processes and their Applicationsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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