SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Seasonal ARIMA Model of Tourism Forecasting: The Case of Taiwan
16 references·12 citing·39 second hop
A Seasonal ARIMA Model of Tourism Forecasting: The Case of Taiwan (2010)A Seasonal ARIMA Model of Tourism Forecas…Tourism forecasting: To combine or not to combine? (2007)Tourism forecasting: To combi…Modelling and forecasting Australian domestic tourism (2007)Modelling and forecasting Aus…Forecasting international tourist flows to Macau (2005)Forecasting international tou…Univariate versus multivariate time series forecasting: an application to international tourism demand (2003)Univariate versus multivariat…Predicting tourism demand using fuzzy time series and hybrid grey theory (2003)Predicting tourism demand usi…A comparison of three different approaches to tourist arrival forecasting (2003)A comparison of three differe…Monthly seasonal variations (2001)Monthly seasonal variationsCointegration versus least squares regression (2001)Cointegration versus least sq…Forecasting international quarterly tourist flows using error-correction and time-series models (1997)Forecasting international qua…Critical values for unit root tests in seasonal time series (1997)Critical values for unit root…Seasonal unit roots in aggregate U.S. data (1993)Seasonal unit roots in aggreg…Seasonal integration and cointegration (1990)Seasonal integration and coin…Forecasting with Univariate Box‐Jenkins Models (1983)Forecasting with Univariate B…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Book Review: Time Series Analysis: Forecasting and Control (1977)Book Review: Time Series Anal…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Design of Machine Learning Algorithm for Tourism Demand Prediction (2022)Design of Machine Learning Al…Integration of Internet search data to predict tourism trends using spatial-temporal XGBoost composite model (2021)Integration of Internet searc…Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S. and Singapore (2021)Impact of different control p…Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach (2021)Forecasting Tourism Demand Wi…Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021–2022 (2021)Comparative Analysis of Diffe…The impact of COVID-19 on tourism sector in India (2020)The impact of COVID-19 on tou…Impact of crisis events on Chinese outbound tourist flow: A framework for post-events growth (2019)Impact of crisis events on Ch…Economic Impact of the 2015 MERS Outbreak on the Republic of Korea's Tourism-Related Industries (2019)Economic Impact of the 2015 M…Data source combination for tourism demand forecasting (2019)Data source combination for t…Forecasting tourist arrivals with machine learning and internet search index (2018)Forecasting tourist arrivals …Modelling international tourism demand using seasonal ARIMA models (2015)Modelling international touri…Cultural tourism as tourist segment for reducing seasonality in a coastal area: the case study of Andalusia (2013)Cultural tourism as tourist s…Macroeconomics and Reality (1980)Statistical analysis of cointegration vectors (1988)Review of international tourism demand models (1997)Tourism demand modelling and forecasting—A review of recent research (2007)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)Tourism demand forecasting: A deep learning approach (2019)Time Series Analysis: Forecasting and Control. (1978)Analysis of international tourist arrivals in China: The role of World Heritage Sites (2009)Time series analysis forecasting and control (2009)Forecasting Economic Time Series (2000)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data (1993)Likelihood-Based Inference in Cointegrated Vector Autoregressive Models (1995)Automatic Time Series Forecasting: The forecast Package for R (2008)Comparing Predictive Accuracy (1994)Numerical distribution functions of likelihood ratio tests for cointegration (1999)Predicting the Present with Google Trends (2012)Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach (2020)Forecasting tourism demand with multisource big data (2020)Review of tourism forecasting research with internet data (2020)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order (1984)Chapter 46 Unit roots, structural breaks and trends (1994)Dynamic Econometrics (1995)Forecasting city arrivals with Google Analytics (2016)Testing for Serial Correlation in Least-Squares Regression When Some of the Regressors are Lagged Dependent Variables (1970)Applied Time Series Analysis for Managerial Forecasting. (1974)Learning the Innovation Journey: Order out of Chaos? (1996)Forecasting with artificial neural networks: (1998)Neural network forecasting for seasonal and trend time series (2003)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Using daily stock returns (1985)Introductory Econometrics for Finance (2008)Tie Series Analysis, Forecasting, and Control (1995)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
this work references cited by second hop

References

  • 1977Book Review: Time Series Analysis: Forecasting and Control19,399 cited
  • 1971Time Series Analysis Forecasting and Control.6,904 cited
  • 1977Time Series Analysis: Forecasting and Control6,592 cited
  • 1990Seasonal integration and cointegration1,475 cited
  • 1983Forecasting with Univariate Box‐Jenkins Models688 cited
  • 1993Seasonal unit roots in aggregate U.S. data422 cited
  • 2003A comparison of three different approaches to tourist arrival forecasting328 cited
  • 2005Forecasting international tourist flows to Macau273 cited
  • 2003Univariate versus multivariate time series forecasting: an application to international tourism demand227 cited
  • 2001Cointegration versus least squares regression224 cited
  • 2007Tourism forecasting: To combine or not to combine?210 cited
  • 2003Predicting tourism demand using fuzzy time series and hybrid grey theory201 cited
  • 1997Forecasting international quarterly tourist flows using error-correction and time-series models200 cited
  • 2007Modelling and forecasting Australian domestic tourism181 cited
  • 2001Monthly seasonal variations172 cited
  • 1997

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Critical values for unit root tests in seasonal time series
129 cited

Cited by

  • 2018Forecasting tourist arrivals with machine learning and internet search index403 cited
  • 2019Economic Impact of the 2015 MERS Outbreak on the Republic of Korea's Tourism-Related Industries193 cited
  • 2020The impact of COVID-19 on tourism sector in India183 cited
  • 2019Impact of crisis events on Chinese outbound tourist flow: A framework for post-events growth181 cited
  • 2013Cultural tourism as tourist segment for reducing seasonality in a coastal area: the case study of Andalusia146 cited
  • 2019Data source combination for tourism demand forecasting63 cited
  • 2015Modelling international tourism demand using seasonal ARIMA models50 cited
  • 2021Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach43 cited
  • 2022Design of Machine Learning Algorithm for Tourism Demand Prediction43 cited
  • 2021Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021–202237 cited
  • 2021Impact of different control policies for COVID-19 outbreak on the air transportation industry: A comparison between China, the U.S. and Singapore35 cited
  • 2021Integration of Internet search data to predict tourism trends using spatial-temporal XGBoost composite model27 cited