Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/29229
Title: New developments in the forecasting of monthly overnight stays in the North Region of Portugal
Author: Silva, Isabel
Alonso, Hugo
Keywords: Forecasting
Neural networks
Overnight stays
Singular spectrum analysis
Time series
Issue Date: 2020
Publisher: Taylor & Francis
Abstract: The Tourism sector is of strategic importance to the North Region of Portugal and is growing. Forecasting monthly overnight stays in this region is, therefore, a relevant problem. In this paper, we analyze data more recent than those considered in previous studies and use them to develop and compare several forecasting models and methods. We conclude that the best results are achieved by models based on a non-parametric approach not considered so far for these data, the singular spectrum analysis.
Peer review: yes
URI: http://hdl.handle.net/10773/29229
DOI: 10.1080/02664763.2020.1795812
ISSN: 0266-4763
Publisher Version: https://www.tandfonline.com/doi/full/10.1080/02664763.2020.1795812
Appears in Collections:CIDMA - Artigos
PSG - Artigos

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