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 SCG - Artigos |
Files in This Item:
File | Description | Size | Format | |
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JAS2020_IMS_HAlonso_repositorio.pdf | 387.26 kB | Adobe PDF | View/Open |
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