The Longest Run Statistic Associated With Exchangeable Binary Variables

dc.contributor.author Eryilmaz S.
dc.date.accessioned 2023-06-16T15:04:40Z
dc.date.available 2023-06-16T15:04:40Z
dc.date.issued 2005
dc.description.abstract Since the hydrologic risk is defined as a risk of exceedance of a critical level during a period, the number of the longest successive exceedances which is referred to as the longest run statistic shows the length of the longest hydrologic risk period. This paper is concerned with the longest run statistic associated with exceedances. In the derivation of a binary sequence, an independent sequence of random variables and a random threshold are considered. The elements of a binary sequence are assigned with respect to a random threshold. In such a consideration, the elements of the corresponding binary sequence are not independent, but are symmetrically dependent, i.e. exchangeable. The distribution of the longest run statistic is derived for the sequence of exchangeable binary variables and its hydrological use is discussed. © Tübi?tak. en_US
dc.identifier.issn 1300-0160
dc.identifier.scopus 2-s2.0-16344394467
dc.identifier.uri https://search.trdizin.gov.tr/yayin/detay/44984
dc.identifier.uri https://hdl.handle.net/20.500.14365/3907
dc.language.iso en en_US
dc.relation.ispartof Turkish Journal of Engineering and Environmental Sciences en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Exceedances en_US
dc.subject Exchangeable binary variables en_US
dc.subject Hydrologic risk en_US
dc.subject Longest run en_US
dc.subject Risk assessment en_US
dc.subject Statistical methods en_US
dc.subject Binary variables en_US
dc.subject Hydrologic risk en_US
dc.subject Random threshold en_US
dc.subject Random variables en_US
dc.subject Hydrology en_US
dc.subject hydrological modeling en_US
dc.subject numerical method en_US
dc.subject risk factor en_US
dc.title The Longest Run Statistic Associated With Exchangeable Binary Variables en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 8203625300
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.departmenttemp Eryılmaz, Serkan, Izmir University of Economics, Department of Mathematics, Izmir, Turkey en_US
gdc.description.endpage 111 en_US
gdc.description.issue 2 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 105 en_US
gdc.description.volume 29 en_US
gdc.description.wosquality N/A
gdc.identifier.trdizinid 44984
gdc.index.type Scopus
gdc.scopus.citedcount 2
gdc.virtual.author Eryilmaz, Serkan
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