{"id":{"repo_id":"vu-aus","oai_identifier":"oai:eprints.vu.edu.au:15622"},"canonical_url":"https://search.dev.ndltd.org/etd/vu-aus/oai:eprints.vu.edu.au:15622","repository":{"repo_id":"vu-aus","name":"Victoria University (Australia)","base_url":"https://vuir.vu.edu.au/cgi/oai2"},"display":{"title":"Forecasting tourist demand to Singapore: a modern time-series approach","abstract":"This dissertation examines the application of modern time series forecasting methods in the forecasting of inbound tourists from the six major tourist generating markets to Singapore, namely the USA, Australia, Japan, UK, India and China. The purpose of the study is to assess the capacity of modern time-series models with regard to their relative forecasting accuracy.","abstract_html":"This dissertation examines the application of modern time series forecasting methods in the forecasting of inbound tourists from the six major tourist generating markets to Singapore, namely the USA, Australia, Japan, UK, India and China. The purpose of the study is to assess the capacity of modern time-series models with regard to their relative forecasting accuracy.","abstract_has_math":false,"creators":["Kon, Sen Choeng"],"institution":"Victoria University","degree_name":"other","degree_level":"other","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002","date_published":"2002","updated_at":"2026-07-24T06:33:15Z","subjects":["1403 Econometrics","School of Economics and Finance","1506 Tourism"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Kon, Sen Choeng"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2002"]},{"key":"dc:date.issued","label":"Date","values":["2002"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["School of Applied Economics"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Victoria University"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://vuir.vu.edu.au/15622/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["other"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["other"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["1403 Econometrics","School of Economics and Finance","1506 Tourism"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://vuir.vu.edu.au/15622/3/KON%20Sen-thesis_nosignature.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This dissertation examines the application of modern time series forecasting methods in the forecasting of inbound tourists from the six major tourist generating markets to Singapore, namely the USA, Australia, Japan, UK, India and China. The purpose of the study is to assess the capacity of modern time-series models with regard to their relative forecasting accuracy."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Forecasting tourist demand to Singapore: a modern time-series approach"]}]}],"canonical_facts":{"dc:creator":["Kon, Sen Choeng"],"dc:date":["2002"],"dc:date.issued":["2002"],"dc:description.abstract":["This dissertation examines the application of modern time series forecasting methods in the forecasting of inbound tourists from the six major tourist generating markets to Singapore, namely the USA, Australia, Japan, UK, India and China. The purpose of the study is to assess the capacity of modern time-series models with regard to their relative forecasting accuracy."],"dc:format":["text"],"dc:identifier.uri":["https://vuir.vu.edu.au/15622/3/KON%20Sen-thesis_nosignature.pdf"],"dc:language":["en"],"dc:publisher.department":["School of Applied Economics"],"dc:publisher.institution":["Victoria University"],"dc:relation.isreferencedby":["https://vuir.vu.edu.au/15622/"],"dc:subject":["1403 Econometrics","School of Economics and Finance","1506 Tourism"],"dc:title":["Forecasting tourist demand to Singapore: a modern time-series approach"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["other"],"dc:type.qualificationname":["other"]},"updated_at":"2026-07-24T06:33:15Z"}