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Structural Change Monitoring for Random Coefficient Autoregressive Time Series
Authors:Fuxiao Li  Zheng Tian  Peiyan Qi
Affiliation:1. Department of Applied Mathematics, Northwest Polytechnical University, Xi’an, P.R. China;2. Department of Computer Science and Technology, Northwest Polytechnical University, Xi’an, P.R.China;3. State Key Laboratory of Remote Sensing Science, Chinese Academy of Science, Beijing, P.R. China
Abstract:A monitoring scheme is proposed to sequentially detect a structural change in random coefficient autoregressive time series of order p (RCA(p)) after a training period of size T. It extends structural change monitoring to RCA(p) time series. The asymptotic properties of our monitoring statistic are established under both the null of no change in parameters and the alternative of a change in coefficient. The finite sample properties are investigated by a simulation study.
Keywords:Random coefficient autoregressive time series of order p  Change point monitoring  Boundary function
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