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題名: | 雙線性時間數列模式及其應用 | 其他題名: | Bilinear Time Series Models and Its Applications | 作者: | 吳柏林 Wu, Berlin |
貢獻者: | 應數系 | 關鍵詞: | Time Series Analysis ;ARMA Models ;Bilinear Models ;Markovian Representation ;Stationarity ;Invertibility ;Forecasting | 日期: | Sep-1991 | 上傳時間: | 20-Oct-2016 | 摘要: | 雙線性時間數列模式及其應用線性時間數列模式,如ARMA模式已被廣泛地應用在許多學科領域。但是其中之一重要假設為此時間數列之結構可被一線性模式來描述。此線性假設有時常覺得頗牽強,因而我們考慮是否有更好的模式來做資料之擬似。近年來,屬於非線性模式族之一系的一雙線性模式便引起學者的熱烈討論。本文即針對特定型之雙線性模式,探討其平穩性,可逆性。並做參數估計法則。最後舉例說明有關預測之方法。Linear time series models such as ARMA models have been widely used in many fields. An important assumption is that the structure of the series can be described by a linear model. However, this assumption of linearity is often a dubious one. In some particular situations one may ask if there exist other models which can provide a better fit. A particular class of non-linear models which has received a great deal of attentions is bilinear models. In this paper we investigates some properties of the bilinear model: stationarity and invertibility. Estimation of the parameters are obtained by minimum least squares method. The forecasting of certain bilinear models are also considered. | 關聯: | 國立政治大學學報, 63, 429-442 | 資料類型: | article |
Appears in Collections: | 期刊論文 |
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