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On the detection of changes in autoregressive time series I. Asymptotics
Authors:Marie Hu&scaron  ková  ,Zuzana Prá  &scaron  ková  ,Josef Steinebach
Affiliation:1. Charles University in Prague, Department of Statistics, Sokolovská 83, CZ–186 75 Praha 8, Czech Republic;2. Universität zu Köln, Mathematisches Institut, Weyertal 86-90, D-50931 Köln, Germany
Abstract:
Various test statistics are discussed which can be used for detecting changes in the parameters of an autoregressive time series. In this first part of our study, the limiting behavior of the test statistics is derived under the null hypothesis of no change as well as under alternatives. In a forthcoming second part of our investigation, these asymptotic results will be compared to some corresponding bootstrap procedures, and a small simulation study will be conducted.
Keywords:Primary 62G20   secondary 60F17   62M10
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