Abstract
In the present paper we develop on-line procedures for detecting changes in the parameters of integer valued autoregressive models of order one. Tests statistics based on probability generating functions are constructed and studied. The asymptotic behavior of the tests under the null hypothesis as well as under certain alternatives is derived.
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Acknowledgements
The research of Simos Meintanis was partially supported by grant number 11699 of the Special Account for Research Grants of the National and Kapodistrian University of Athens (ELKE). The research of Marie Hušková was partially supported by grant GAČR P201/12/1277 and by AP research network grant Nr. P7/06 of the Belgian government (Belgian Science Policy). The research of Šárka Hudecová was partially supported by the Czech Science Foundation project DYME Dynamic Models in Economics No. P402/12/G097.
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Hudecová, Š., Hušková, M., Meintanis, S. (2015). Detection of Changes in INAR Models. In: Steland, A., Rafajłowicz, E., Szajowski, K. (eds) Stochastic Models, Statistics and Their Applications. Springer Proceedings in Mathematics & Statistics, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-13881-7_2
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DOI: https://doi.org/10.1007/978-3-319-13881-7_2
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