On the renewal measure for Gaussian sequences
dc.contributor.author | Klebaner, Fima C. | en_US |
dc.date.accessioned | 2006-04-07T19:30:10Z | |
dc.date.available | 2006-04-07T19:30:10Z | |
dc.date.issued | 1986-06 | en_US |
dc.identifier.citation | Klebaner, Fima C. (1986/06)."On the renewal measure for Gaussian sequences." Statistics & Probability Letters 4(4): 167-171. <http://hdl.handle.net/2027.42/26146> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V1D-47N61MJ-2S/2/b85da04884b6b81e938dea8aa0edb48a | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/26146 | |
dc.description.abstract | A 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 --> [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.extent | 290849 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | On the renewal measure for Gaussian sequences | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, Department of Statistics, Ann Arbor, MI 48109-1027, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/26146/1/0000223.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0167-7152(86)90060-X | en_US |
dc.identifier.source | Statistics & Probability Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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