Modelling and forecasting the number of students enrolled in the College of Administrative Sciences at Kuwait University using Multiplicative SARIMA Model | ||||
| المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر | ||||
| Volume 29, Issue 1, January 2023, Page 1-23 PDF (1.11 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jsfc.2023.367828 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Narges Akbar | ||||
| Abstract | ||||
| This study aims to produce the most adequate time series model for modelling and forecasting the number of students enrolled in the College of Administrative Sciences at Kuwait University using "Box and Jenkins methodology”. As a case study, we collected the data from admission and registration department from the academic year 1995/1996 to the academic year 2020/2021 for all semesters (Fall, Spring and Summer). The SARIMA (0, 1, 2) (0,1,3) model, which successfully passed all the diagnostic tests and checks, has been used in forecasting the next two academic years. | ||||
| Keywords | ||||
| Forecasting; Stationarity; invertibility; autocorrelation function (ACF); partial autocorrelation function (PACF); multiplicative SARIMA model | ||||
|
Statistics Article View: 94 PDF Download: 75 |
||||
