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題名 Use of fuzzy statistical technique in change periods detection of nonlinear time series.
作者 吳柏林
Wu, Berlin
Chen, Mei-Hui
貢獻者 應數系
關鍵詞 Change periods; Nonlinear time series; Revised centered cumulative sums of squares (RCUSUM); Fuzzy statistics
日期 1999-03
上傳時間 28-Sep-2018 16:35:07 (UTC+8)
摘要 Many papers have been presented on the study of change points detection. Nonetheless, we would like to point out that in dealing with the time series with switching regimes, we should also take the characteristics of change periods into account. Because many patterns of change structure in time series exhibit a certain kind of duration, those phenomena should not be treated as a mere sudden turning at a certain time. In this paper, we propose a procedure about change periods detection for nonlinear time series. The detecting statistical method is an application of fuzzy classification and a generalization of Inclan and Tiao`s result [J. Am. Statist. Assoc. 89 (1994) 913]. Simulation results show that the performance of the proposed procedure is efficient and successful. Finally, an empirical application about change periods detecting for Taiwan monthly visitor`s arrival is demonstrated.
關聯 Applied Mathematics and Computation, Volume 99, Issues 2-3, Pages 241-254
AMS MathSciNet:MR1663961
資料類型 article
DOI https://doi.org/10.1016/S0096-3003(98)00011-3
dc.contributor 應數系
dc.creator (作者) 吳柏林zh_TW
dc.creator (作者) Wu, Berlinen_US
dc.creator (作者) Chen, Mei-Huien_US
dc.date (日期) 1999-03
dc.date.accessioned 28-Sep-2018 16:35:07 (UTC+8)-
dc.date.available 28-Sep-2018 16:35:07 (UTC+8)-
dc.date.issued (上傳時間) 28-Sep-2018 16:35:07 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/120198-
dc.description.abstract (摘要) Many papers have been presented on the study of change points detection. Nonetheless, we would like to point out that in dealing with the time series with switching regimes, we should also take the characteristics of change periods into account. Because many patterns of change structure in time series exhibit a certain kind of duration, those phenomena should not be treated as a mere sudden turning at a certain time. In this paper, we propose a procedure about change periods detection for nonlinear time series. The detecting statistical method is an application of fuzzy classification and a generalization of Inclan and Tiao`s result [J. Am. Statist. Assoc. 89 (1994) 913]. Simulation results show that the performance of the proposed procedure is efficient and successful. Finally, an empirical application about change periods detecting for Taiwan monthly visitor`s arrival is demonstrated.en_US
dc.format.extent 647879 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Applied Mathematics and Computation, Volume 99, Issues 2-3, Pages 241-254
dc.relation (關聯) AMS MathSciNet:MR1663961
dc.subject (關鍵詞) Change periods; Nonlinear time series; Revised centered cumulative sums of squares (RCUSUM); Fuzzy statisticsen_US
dc.title (題名) Use of fuzzy statistical technique in change periods detection of nonlinear time series.en_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/S0096-3003(98)00011-3
dc.doi.uri (DOI) https://doi.org/10.1016/S0096-3003(98)00011-3