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Distribution of joint run-lengths of bivariate Markov processes

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dc.contributor.authorBayazit, M.
dc.date.accessioned2026-01-29T04:40:41Z
dc.date.issued1981-01-01
dc.description.abstractAbstract Joint negative run-length characterizes the duration of drought occurring simultaneously at two locations. Probability distributions of joint negative run-lengths are derived for stationary bivariate processes which are both serially and mutually dependent. The dependence is assumed to be Markovian. It is found that joint negative run-lengths are distributed geometrically with a parameter that depends on the correlation coefficients and the truncation level. Results are compared with approximate expressions given by other authors. Derived equations are applied to monthly and annual flow records, and the agreement is found to be reasonably good.
dc.description.urihttps://doi.org/10.1016/0022-1694(81)90060-3
dc.description.urihttps://dx.doi.org/10.1016/0022-1694(81)90060-3
dc.identifier.doi10.1016/0022-1694(81)90060-3
dc.identifier.endpage43
dc.identifier.issn0022-1694
dc.identifier.openairedoi_dedup___::8cab2a481213ec9d2207d91a3b4db487
dc.identifier.startpage35
dc.identifier.urihttps://hdl.handle.net/11527/67836
dc.identifier.volume50
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofJournal of Hydrology
dc.rightsCLOSED
dc.sdg.typeGoal 13: Climate Action
dc.sdg.typeGoal 15: Life on Land
dc.titleDistribution of joint run-lengths of bivariate Markov processes
dc.typeArticle
dspace.entity.typePublication

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