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Combining linear and nonlinear model in forecasting tourism demand · Study

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ArticleCombining linear and nonlinear model in forecasting tourism demand

Kuan‐Yu Chen2011

Article2011

Combining linear and nonlinear model in forecasting tourism demand

163 citations·0/0 files stored·Expert Systems with Applications

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Forecasting Techniques and Applications Stock Market Forecasting Methods Grey System Theory Applications

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References

1977Time Series Analysis: Forecasting and Control 1977Time Series Analysis: Forecasting and Control 2003Time series forecasting using a hybrid ARIMA and neural network model 1969The Combination of Forecasts 1989Combining forecasts: A review and annotated bibliography 1990Combining forecasts: A review and annotated bibliography 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition 2001Application of support vector machines in financial time series forecasting

Cited by

2018Tourism forecasting: A review of methodological developments over the last decade 2014Tourism Demand Forecasting with Neural Network Models: Different Ways of Treating Information 2015A combination method for interval forecasting of agricultural commodity futures prices 2013Tourism demand forecasting using novel hybrid system 2014A novel approach to model selection in tourism demand modeling 2016

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Details

Year2011

Typearticle

Published2011-02-10

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations163

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.eswa.2011.02.049

openalex_workW2018466646

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Interval-valued time series forecasting using a novel hybrid HoltI and MSVR model

2022Tourism demand forecasting with spatiotemporal features

2020Forecasting tourist arrivals using denoising and potential factors