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367828

Modelling and forecasting the number of students enrolled in the College of Administrative Sciences at Kuwait University using Multiplicative SARIMA Model

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Last updated: 24 Dec 2024

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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.

DOI

10.21608/jsfc.2023.367828

Keywords

Forecasting, Stationarity, invertibility, autocorrelation function (ACF), partial autocorrelation function (PACF), multiplicative SARIMA model

Authors

First Name

Narges

Last Name

Akbar

MiddleName

-

Affiliation

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Email

narges.akbar@ku.edu.kw

City

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Orcid

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Volume

29

Article Issue

1

Related Issue

49262

Issue Date

2023-01-01

Receive Date

2024-07-17

Publish Date

2023-01-01

Page Start

1

Page End

23

Print ISSN

2636-3674

Article File

JSFC_Volume 29_Issue 1_Pages 1-23.pdf

PDF . 1.2MB

Link

https://jsfc.journals.ekb.eg/article_367828.html

Detail API

https://jsfc.journals.ekb.eg/service?article_code=367828

Order

367,828

Type

المقالة الأصلية

Type Code

761

Publication Type

Journal

Publication Title

المجلة العلمية لقطاع کليات التجارة بجامعة الأزهر

Publication Link

https://jsfc.journals.ekb.eg/

MainTitle

Modelling and forecasting the number of students enrolled in the College of Administrative Sciences at Kuwait University using Multiplicative SARIMA Model

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Article

Created At

24 Dec 2024