Time series modelling of tourist arrivals to Malaysia
Tourism comprises of the activities of persons traveling to and staying in places outside their usual environment for not more than one consecutive year. Tourism is one of the major foreign exchange earners in Malaysia. Therefore, forecasting tourist arrivals becomes important because it would enab...
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2008
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my.upm.eprints.174162013-08-20T01:18:04Z http://psasir.upm.edu.my/id/eprint/17416/ Time series modelling of tourist arrivals to Malaysia Shitan, Mahendran Tourism comprises of the activities of persons traveling to and staying in places outside their usual environment for not more than one consecutive year. Tourism is one of the major foreign exchange earners in Malaysia. Therefore, forecasting tourist arrivals becomes important because it would enable tourist related industries like airlines, hotels,food and catering services, etc., to plan and prepare their activities in an optimal way. Previous studies have suggested various time series models for modelling monthly tourist arrivals to Malaysia. Since then, new observations have become available and it is important to update these models. Therefore, in this paper we update and compare the performance of three time series models for modelling tourist arrivals to Malaysia. One of them is within the class of ARMA models and the other two are in the class of ARFIMA models. & & & InterStat 2008 Article PeerReviewed Shitan, Mahendran (2008) Time series modelling of tourist arrivals to Malaysia. InterStat (October). pp. 1-12. ISSN 1941-689X English |
| institution |
Universiti Putra Malaysia |
| building |
UPM Library |
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Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Putra Malaysia |
| content_source |
UPM Institutional Repository |
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http://psasir.upm.edu.my/ |
| language |
English |
| description |
Tourism comprises of the activities of persons traveling to and staying in places outside their usual environment for not more than one consecutive year. Tourism is one of the major foreign exchange earners in Malaysia. Therefore, forecasting tourist arrivals becomes important
because it would enable tourist related industries like airlines, hotels,food and catering services, etc., to plan and prepare their activities in an optimal way.
Previous studies have suggested various time series models for modelling monthly tourist arrivals to Malaysia. Since then, new observations have become available and it is important to update these models.
Therefore, in this paper we update and compare the performance
of three time series models for modelling tourist arrivals to Malaysia.
One of them is within the class of ARMA models and the other two
are in the class of ARFIMA models.
& & & |
| format |
Article |
| author |
Shitan, Mahendran |
| spellingShingle |
Shitan, Mahendran Time series modelling of tourist arrivals to Malaysia |
| author_facet |
Shitan, Mahendran |
| author_sort |
Shitan, Mahendran |
| title |
Time series modelling of tourist arrivals to Malaysia |
| title_short |
Time series modelling of tourist arrivals to Malaysia |
| title_full |
Time series modelling of tourist arrivals to Malaysia |
| title_fullStr |
Time series modelling of tourist arrivals to Malaysia |
| title_full_unstemmed |
Time series modelling of tourist arrivals to Malaysia |
| title_sort |
time series modelling of tourist arrivals to malaysia |
| publisher |
InterStat |
| publishDate |
2008 |
| url |
http://psasir.upm.edu.my/id/eprint/17416/ |
| _version_ |
1643826510153383936 |
| score |
13.211869 |