期刊論文
| 學年 | 108 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2020-02-01 |
| 作品名稱 | DETECTING MULTIVARIATE SERIES DATA WITH TRANSFER FUNCTION ARIMAX FOR TEACHER DEMAND |
| 作品名稱（其他語言） | |
| 著者 | Wen-Ching Chou; Ko Lin Lai; Dian-Fu Chang |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | ICIC Express Letters Part B: Applications 11(2), p.129-136 |
| 摘要 | The 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 fittest ARIMAX model. The ARIMAX analyses indicate that predicting the number of teachers with number of students is better than that only using the universal series data of teacher demand. The implication of these findings may provide an optimal research design for determining the demand of teachers under the changing number of students in elementary schools. |
| 關鍵字 | ARIMA;ARIMAX;Cross-correlation function;Multivariate time series;Transfer function;Teacher demand |
| 語言 | en_US |
| ISSN | 2185-2766 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | Dian-Fu Chang |
| 審稿制度 | 是 |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118156 ) |