Time series forecasting for tourism industry in Malaysia
This study is conducted to forecast the future tourism demand in Malaysia by applying Box-Jenkins modelling. The time series data of tourist arrivals volume in Malaysia before MCO retrieved from MOTAC Malaysia database is implemented in this study. The forecast evaluation methods used to validate...
Saved in:
Main Authors: | Noratikah, Abu, Siti Aishah @Tsamienah, Taib, Nurul Amira, Zainal, Nor Azuana, Ramli, Go, Clark Kendrick |
---|---|
Format: | Article |
Language: | English |
Published: |
Pushpa Publishing House
2024
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/43502/1/2024-ADAS%20-%20SARIMA%20Tourism.pdf http://umpir.ump.edu.my/id/eprint/43502/ https://doi.org/10.17654/0972361725004 https://doi.org/10.17654/0972361725004 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The implementation of long-short term memory for tourism industry in Malaysia
by: Siti Aishah Tsamienah, Taib, et al.
Published: (2025) -
The implementation of data mining technology in tourism
industry
by: Siti Aishah @ Tsamienah, Taib, et al.
Published: (2024) -
The implementation of long-short term memory for tourism industry in Malaysia
by: Siti Aishah @ Tsamienah, Taib, et al.
Published: (2025) -
Automated time series forecasting
by: Ismail, Suzilah, et al.
Published: (2011) -
New tourism product forecasting – application of bass diffusion model and grey forecasting model
by: Abu, Noratikah, et al.
Published: (2020)