1772 26 69033 2 2408747 document 69033 lightbox.jpg image/png 6ebcadb8ff38c760a0e162edebc22216 MD5 61850 2020-10-12 03:07:25 https://vuir.vu.edu.au/1772/2/lightbox.jpg 1772 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/69027 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69027 http://eprints.org/relation/islightboxThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69027 69034 2 2408748 document 69034 preview.jpg image/png 9c42f7864b2659dd58cdfa83ca124663 MD5 27538 2020-10-12 03:07:25 https://vuir.vu.edu.au/1772/3/preview.jpg 1772 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/69027 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69027 http://eprints.org/relation/ispreviewThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69027 69035 2 2408749 document 69035 medium.jpg image/png 4568cc6e5597532d21946c6f3e83b603 MD5 8421 2020-10-12 03:07:26 https://vuir.vu.edu.au/1772/4/medium.jpg 1772 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/69027 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69027 http://eprints.org/relation/ismediumThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69027 69036 2 2408750 document 69036 small.jpg image/png 71fbb0898bde143b0b87d3779f4f02bd MD5 1690 2020-10-12 03:07:26 https://vuir.vu.edu.au/1772/5/small.jpg 1772 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/69027 http://eprints.org/relation/isVolatileVersionOf https://vuir.vu.edu.au/id/dark_document/69027 http://eprints.org/relation/issmallThumbnailVersionOf https://vuir.vu.edu.au/id/dark_document/69027 archive 293 disk0/00/00/17/72 2009-02-18 16:19:37 2021-08-27 07:42:09 2009-02-18 16:19:37 article show Kulendran Nada Kulendran, Nada Witt Stephen F pub AppliedEconomics 340000 350000 tourism forecasting, business tourism, modern forecasting methods, accuracy comparisons Previous research in the area of tourism demand modeling and forecasting has paid little attention to business tourism. This study provides the most comprehensive comparison to date of the accuracy of modern forecasting methods in the context of international business tourism demand forecasting. Seven forecasting models are examined, including the error correction model and various structural time-series and autoregressive integrated moving average (ARIMA) models. The empirical results show that relative forecasting performance is highly dependent on the length of forecasting horizon, that adding explanatory variables to the structural time-series model does not improve forecasting performance, and that testing for unit roots is likely to yield reasonably accurate results under certain conditions. 2003 published SAGE Publications 10.1177/0047287502239034 http://dx.doi.org/10.1177/0047287502239034 69027 2 2408736 dark_document 69027 Kulendran Nada.pdf application/pdf 028bba81768354bf06f1a6fb785e0192 MD5 44549 2020-10-12 02:56:59 1772 1 1 application/pdf text Generic Permission Form en staffonly

Kulendran Nada.pdf

other none Journal of Travel Research 41 3 265-271 TRUE 1552-6763 Online 0047-2875 Print FALSE 129 2-s2.0-0037302371 2023-07-02 04:01:18