New developments in the forecasting of monthly overnight stays in the North Region of Portugal

Isabel Silva, Hugo Alonso

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2927-2940
Number of pages14
JournalJournal of Applied Statistics
DOIs
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Forecasting
  • neural networks
  • overnight stays
  • singular spectrum analysis
  • time series

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