1774 23 69037 2 2408751 document 69037 lightbox.jpg image/png 6ebcadb8ff38c760a0e162edebc22216 MD5 61850 2020-10-12 03:07:27 https://vuir.vu.edu.au/1774/2/lightbox.jpg 1774 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en staffonly

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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/islightboxThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69026 69038 2 2408752 document 69038 preview.jpg image/png 9c42f7864b2659dd58cdfa83ca124663 MD5 27538 2020-10-12 03:07:28 https://vuir.vu.edu.au/1774/3/preview.jpg 1774 3 3 image/png other Thumbnails conversion from text to thumbnail_preview en staffonly

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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/ispreviewThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69026 69039 2 2408753 document 69039 medium.jpg image/png 4568cc6e5597532d21946c6f3e83b603 MD5 8421 2020-10-12 03:07:28 https://vuir.vu.edu.au/1774/4/medium.jpg 1774 4 4 image/png other Thumbnails conversion from text to thumbnail_medium en staffonly

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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/ismediumThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69026 69040 2 2408754 document 69040 small.jpg image/png 71fbb0898bde143b0b87d3779f4f02bd MD5 1690 2020-10-12 03:07:28 https://vuir.vu.edu.au/1774/5/small.jpg 1774 5 5 image/png other Thumbnails conversion from text to thumbnail_small en staffonly

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http://eprints.org/relation/isVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69026 http://eprints.org/relation/issmallThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69026 archive 293 disk0/00/00/17/74 2009-02-18 17:13:24 2021-08-27 07:42:09 2009-02-18 17:13:24 article show Kulendran Nada Kulendran, Nada Witt Stephen F pub 340000 AppliedEconomics leading indicator, transfer function, ARIMA model, error correction model, forecast accuracy Leading indicators have been widely used in general business forecasting situations, but only rarely in a tourism context. In this study leading indicator transfer function (TF) models are developed to generate forecasts of international tourism demand from the UK to six major destinations. The out-of-sample forecasting accuracy is compared with the accuracy of forecasts generated by univariate ARIMA and error correction models (ECMs). The inclusion of a causal input within an ARIMA time series framework (TF model) does not result in an improvement in forecasting performance. The time series models outperform the ECM for short-term forecasting, but the ECM generates more accurate longer-term forecasts. 2003-10 published Pergamon 10.1016/S0261-5177(03)00010-4 http://dx.doi.org/10.1016/S0261-5177(03)00010-4 69026 2 2408734 dark_document 69026 Kulendran Nada.pdf application/pdf 028bba81768354bf06f1a6fb785e0192 MD5 44549 2020-10-12 02:56:53 1774 1 1 application/pdf text Generic Permission Form en staffonly

Kulendran Nada.pdf

other none Tourism Management 24 5 503-510 TRUE 0261-5177 FALSE 64 2-s2.0-0141906215 2023-07-02 04:01:18