教師資料查詢 | 類別: 期刊論文 | 教師: 張鈿富 Dian-fu Chang (瀏覽個人網頁)

標題:DETECTING MULTIVARIATE SERIES DATA WITH TRANSFER FUNCTION ARIMAX FOR TEACHER DEMAND
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
語言英文(美國)
ISSN2185-2766
期刊性質國外
收錄於
產學合作
通訊作者Dian-Fu Chang
審稿制度
國別日本
公開徵稿
出版型式,紙本
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