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On the renewal measure for Gaussian sequences

dc.contributor.authorKlebaner, Fima C.en_US
dc.date.accessioned2006-04-07T19:30:10Z
dc.date.available2006-04-07T19:30:10Z
dc.date.issued1986-06en_US
dc.identifier.citationKlebaner, Fima C. (1986/06)."On the renewal measure for Gaussian sequences." Statistics &amp; Probability Letters 4(4): 167-171. <http://hdl.handle.net/2027.42/26146>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V1D-47N61MJ-2S/2/b85da04884b6b81e938dea8aa0edb48aen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/26146
dc.description.abstractA form for U(t), the expected number of times a Gaussian sequence falls below a level of t, is given in terms of the mean M(x) and the variance V2(x) functions. It is shown that under general conditions U(t) ~ M(-1)(t), t --&gt; [infinity]. Moreover, if M and V are regularly varying at infinity functions, then U(t) - M(-1)(t) is also regularly varying at infinity. A renewal theorem for stationary Gaussian sequences is given, where it is shown that the asymptotic behavior of U(t) - t/[mu] is determined by the asymptotic behavior of V2(t)/t.en_US
dc.format.extent290849 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleOn the renewal measure for Gaussian sequencesen_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.affiliationumUniversity of Michigan, Department of Statistics, Ann Arbor, MI 48109-1027, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/26146/1/0000223.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0167-7152(86)90060-Xen_US
dc.identifier.sourceStatistics &amp; Probability Lettersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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