On a minimum distance estimate of the period in functional autoregressive processes

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dc.contributor.authorBenyelles, Wafaaen_US
dc.contributor.authorMourid, Taharen_US
dc.date.accessioned2013-03-18T09:38:28Zen_US
dc.date.available2013-03-18T09:38:28Zen_US
dc.date.issued2012en_US
dc.descriptionJournal of Applied Statistics Volume 39, Issue 8, 2012.en_US
dc.description.abstractWe consider a continuous time random process with functional autoregressive representation. We state statistical results on a mean functional estimator determining a minimum distance estimator of the period giving consistency and a limit law stated in Mourid and Benyelles [13]. Then we discuss their performance on numerical simulations and on real data analyzing the cycle of a climatic phenomena.en_US
dc.identifier.urihttps://dspace.univ-tlemcen.dz/handle/112/1601en_US
dc.language.isoenen_US
dc.subjectfunctional autoregressive processen_US
dc.subjectfunctional mean estimationen_US
dc.subjectperiod estimationen_US
dc.subjectminimum distance estimationen_US
dc.subjectfunctional dataen_US
dc.subjectsimulationen_US
dc.titleOn a minimum distance estimate of the period in functional autoregressive processesen_US
dc.typeArticleen_US

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