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Forecasting accuracy evaluation of tourist arrivals · Study

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ArticleForecasting accuracy evaluation of tourist arrivals

Hossein Hassani2017

OA

Articlegreen2017

Forecasting accuracy evaluation of tourist arrivals

Hossein Hassani · Emmanuel Sirimal Silva · Nikolaos Antonakakis · George N. Filis · Rangan Gupta

154 citations·0/0 files stored·Annals of Tourism Research

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Forecasting Techniques and Applications Diverse Aspects of Tourism Research Grey System Theory Applications

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References

n.d.Forecasting principles and practice 2008Automatic Time Series Forecasting: The forecast Package for R 1993Forecasting methods and applications 1997Testing the equality of prediction mean squared errors 2011Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing 2017Automatic time series forecasting: the forecast package for R 2013Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union 1999Forecasting: Methods and Applications

Cited by

2020Tourism Demand and the COVID-19 Pandemic: An LSTM Approach 2018Forecasting tourism demand with denoised neural networks 2021Using SARIMA–CNN–LSTM approach to forecast daily tourism demand 2020Using machine learning and big data for efficient forecasting of hotel booking cancellations 2020Machine Learning in Internet Search Query Selection for Tourism Forecasting 2020

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2018Forecasting tourism demand with denoised neural networksarticle · 11 shared references 2019Forecasting tourism demand using search query data: A hybrid modelling approacharticle · 10 shared references 2020The impact of COVID-19 on tourism sector in Indiaarticle · 8 shared references 2014Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysisarticle · 8 shared references 2011The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literaturearticle · 8 shared references 2012Tourism Demand Modelling and Forecastingbook · 8 shared references

Details

Year2017

Typearticle

Published2017-02-02

VenueAnnals of Tourism Research

ISSN-L0160-7383

Languageen

Citations154

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.annals.2017.01.008

openalex_workW2585667993

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A decomposition-ensemble approach for tourism forecasting

2019Spatial-temporal forecasting of tourism demand

2020Forecasting Tourism Demand with an Improved Mixed Data Sampling Model