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dc.contributor.authorHudecová, Šárka
dc.contributor.authorMeintanis, Simos
dc.contributor.authorHušková, Marie
dc.date.accessioned2017-04-18T08:16:57Z
dc.date.available2017-04-18T08:16:57Z
dc.date.issued2016
dc.identifier.citationHudecová, S. et al. 2016. Change detection in INARCH time series of counts. (In Cao, R., Manteiga, W.G. & Romo, J., eds. Nonparametric statistics). 2nd ISNPS, Cádiz, June 2014. Springer proceedings in mathematics and statistics, 175:47-58. [http://link.springer.com/bookseries/10533]en_US
dc.identifier.isbn978-3-319-41582-6
dc.identifier.urihttp://hdl.handle.net/10394/21428
dc.identifier.urihttps://doi.org/10.1007/978-3-319-41582-6_4
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-319-41582-6_4
dc.description.abstractIn the present paper we develop an online procedure for detecting changes in the parameters of integer ARCH models of order one. The test statistic utilizes the notion of the empirical probability generating function. The asymptotic behavior of the test under the null hypothesis is deriveden_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectSequential monitoringen_US
dc.subjectTime series of countsen_US
dc.subjectEmpirical probability generating functionen_US
dc.titleChange detection in INARCH time series of countsen_US
dc.typeBook chapteren_US
dc.contributor.researchID21262977 - Meintanis, Simos George


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