Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model

Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model

Tourism is an important industry for many nations including Malaysia. A tourism forecasting model is necessary in order to optimize resource allocation to maximize facilities and services to tourists. This paper proposes a Nonlinear AutoRegressive (NAR) model to forecast Malaysian tourism influx bas...

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Published in:Proceedings - 2013 IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013
Main Author: Yassin I.M.; Zabidi A.; Salleh M.K.M.; Khalid N.E.A.
Format: Conference paper
Language:English
Published: 2013
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891133742&doi=10.1109%2fICSEngT.2013.6650138&partnerID=40&md5=9890f6c4b8eaf02a9f3cf63020eb2c23
id 2-s2.0-84891133742
spelling 2-s2.0-84891133742
Yassin I.M.; Zabidi A.; Salleh M.K.M.; Khalid N.E.A.
Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
2013
Proceedings - 2013 IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013


10.1109/ICSEngT.2013.6650138
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891133742&doi=10.1109%2fICSEngT.2013.6650138&partnerID=40&md5=9890f6c4b8eaf02a9f3cf63020eb2c23
Tourism is an important industry for many nations including Malaysia. A tourism forecasting model is necessary in order to optimize resource allocation to maximize facilities and services to tourists. This paper proposes a Nonlinear AutoRegressive (NAR) model to forecast Malaysian tourism influx based on the volume of internet searches of the keyword 'tourism Malaysia'. The volume of internet searches has been proven to correspond strongly with tourism in a particular area. Validation and fitting tests indicate valid model with a modest data fit ability. © 2013 IEEE.


English
Conference paper
author Yassin I.M.; Zabidi A.; Salleh M.K.M.; Khalid N.E.A.
spellingShingle Yassin I.M.; Zabidi A.; Salleh M.K.M.; Khalid N.E.A.
Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
author_facet Yassin I.M.; Zabidi A.; Salleh M.K.M.; Khalid N.E.A.
author_sort Yassin I.M.; Zabidi A.; Salleh M.K.M.; Khalid N.E.A.
title Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
title_short Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
title_full Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
title_fullStr Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
title_full_unstemmed Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
title_sort Malaysian tourism interest forecasting using Nonlinear Auto-Regressive (NAR) model
publishDate 2013
container_title Proceedings - 2013 IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013
container_volume
container_issue
doi_str_mv 10.1109/ICSEngT.2013.6650138
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891133742&doi=10.1109%2fICSEngT.2013.6650138&partnerID=40&md5=9890f6c4b8eaf02a9f3cf63020eb2c23
description Tourism is an important industry for many nations including Malaysia. A tourism forecasting model is necessary in order to optimize resource allocation to maximize facilities and services to tourists. This paper proposes a Nonlinear AutoRegressive (NAR) model to forecast Malaysian tourism influx based on the volume of internet searches of the keyword 'tourism Malaysia'. The volume of internet searches has been proven to correspond strongly with tourism in a particular area. Validation and fitting tests indicate valid model with a modest data fit ability. © 2013 IEEE.
publisher
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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