Winning methods for forecasting tourism time series
AbstractWe constituted Team "Lee C. Baker", which won the online tourism forecasting competition. Our forecasts had the smallest MASE for the first part of the competition involving 518 annual time series, and the second smallest MASE for the second part of the competition involving 427 quarterly time series and 366 monthly time series. In this article, we briefly describe the methods we used.
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Bibliographic InfoArticle provided by Elsevier in its journal International Journal of Forecasting.
Volume (Year): 27 (2011)
Issue (Month): 3 (July)
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Web page: http://www.elsevier.com/locate/ijforecast
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