關鍵字查詢 | 類別:期刊論文 | | 關鍵字:DETECTING MULTIVARIATE SERIES DATA WITH TRANSFER FUNCTION ARIMAX FOR TEACHER DEMAND

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序號 學年期 教師動態
1 108/2 教政所 張鈿富 教授 期刊論文 發佈 DETECTING MULTIVARIATE SERIES DATA WITH TRANSFER FUNCTION ARIMAX FOR TEACHER DEMAND , [108-2] :DETECTING MULTIVARIATE SERIES DATA WITH TRANSFER FUNCTION ARIMAX FOR TEACHER DEMAND期刊論文DETECTING MULTIVARIATE SERIES DATA WITH TRANSFER FUNCTION ARIMAX FOR TEACHER DEMANDWen-Ching Chou; Ko Lin Lai; Dian-Fu ChangARIMA;ARIMAX;Cross-correlation function;Multivariate time series;Transfer function;Teacher demandICIC Express Letters Part B: Applications 11(2), p.129-136The universal ARIMA model did not fit two series concurrently. For example, the series of teacher demand is a case with multiple factors concurrently in its development process. Previous literature assumed that teacher demand can be forecasted independently through the model ARIMA (autoregressive integrated moving average). In this paper, we applied multivariate ARIMA mode, called ARIMAX, for determining the demand of teachers with the series data of students. We selected the series of data as an example from the Ministry of Education, Taiwan. The cross correlation function and transfer function have been applied to build the
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