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Accurately Forecasting Model for the Stochastic Volatility Data in Tourism Demand
16 references·3 citing·34 second hop
Accurately Forecasting Model for the Stochastic Volatility Data in Tourism Demand (2011)Accurately Forecasting Model for the Stoc…Tourism forecasting: To combine or not to combine? (2007)Tourism forecasting: To combi…Novel high-precision grey forecasting model (2007)Novel high-precision grey for…Modelling and forecasting Australian domestic tourism (2007)Modelling and forecasting Aus…Support vector regression with genetic algorithms in forecasting tourism demand (2006)Support vector regression wit…A new approach of forecasting intermittent demand for spare parts inventories in the process industries (2006)A new approach of forecasting…Forecasting international tourist flows to Macau (2005)Forecasting international tou…An Improved Neural Network Model in Forecasting Arrivals (2005)An Improved Neural Network Mo…Univariate versus multivariate time series forecasting: an application to international tourism demand (2003)Univariate versus multivariat…Modelling and forecasting the demand for Hong Kong tourism (2003)Modelling and forecasting the…Forecasting tourism demand: a cubic polynomial approach (2003)Forecasting tourism demand: a…Forecast of the output value of Taiwan's opto-electronics industry using the Grey forecasting model (2003)Forecast of the output value …Applying the Grey prediction model to the global integrated circuit industry (2003)Applying the Grey prediction …A comparison of three different approaches to tourist arrival forecasting (2003)A comparison of three differe…Forecasting tourism demand in asian-pacific countries (1998)Forecasting tourism demand in…Forecasting international quarterly tourist flows using error-correction and time-series models (1997)Forecasting international qua…Control problems of grey systems (1982)Control problems of grey syst…Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models (2021)Forecasting the demand for to…Forecasting tourism demand using fractional grey prediction models with Fourier series (2020)Forecasting tourism demand us…An Improvement the Accuracy of Grey Forecasting Model for Cargo Throughput in International Commercial Ports of Kaohsiung (2014)An Improvement the Accuracy o…Book Review: Time Series Analysis: Forecasting and Control (1977)Forecasting tourism demand: A review of empirical research (1995)Recent Developments in Econometric Modeling and Forecasting (2005)Tourism demand modelling and forecasting—A review of recent research (2007)An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis (2012)A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting (2019)Macroeconomics and Reality (1980)Statistical analysis of cointegration vectors (1988)Review of international tourism demand models (1997)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 with Univariate Box‐Jenkins Models (1983)Application of support vector machines in financial time series forecasting (2001)Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda (2022)Introduction to Grey system theory (1989)A trigonometric grey prediction approach to forecasting electricity demand (2006)Grey prediction with rolling mechanism for electricity demand forecasting of Turkey (2007)Fuzzy DEMATEL method for developing supplier selection criteria (2010)The Combination of Forecasts (1969)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Tourism economics research: A review and assessment (2012)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)25 years of time series forecasting (2006)Forecasting Economic Time Series (2000)Principles of forecasting : a handbook for researchers and practitioners (2001)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Forecasting tourist arrivals with machine learning and internet search index (2018)The use of grey relational analysis in solving multiple attribute decision-making problems (2008)Integrating sustainability into supplier selection with grey system and rough set methodologies (2009)Multi-Criteria Decision Making (MCDM) Methods and Concepts (2023)
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References

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  • 2006Support vector regression with genetic algorithms in forecasting tourism demand383 cited
  • 2003A comparison of three different approaches to tourist arrival forecasting328 cited
  • 2005Forecasting international tourist flows to Macau273 cited
  • 2003Applying the Grey prediction model to the global integrated circuit industry261 cited
  • 2003Modelling and forecasting the demand for Hong Kong tourism236 cited
  • 2003Univariate versus multivariate time series forecasting: an application to international tourism demand227 cited
  • 2007Tourism forecasting: To combine or not to combine?210 cited
  • 1997Forecasting international quarterly tourist flows using error-correction and time-series models200 cited
  • 2007Modelling and forecasting Australian domestic tourism181 cited
  • 2003Forecast of the output value of Taiwan's opto-electronics industry using the Grey forecasting model168 cited
  • 2006A new approach of forecasting intermittent demand for spare parts inventories in the process industries111 cited
  • 2005An Improved Neural Network Model in Forecasting Arrivals105 cited
  • 2003Forecasting tourism demand: a cubic polynomial approach86 cited
  • 2007

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Novel high-precision grey forecasting model
84 cited
  • 1998Forecasting tourism demand in asian-pacific countries78 cited
  • Cited by

    • 2020Forecasting tourism demand using fractional grey prediction models with Fourier series43 cited
    • 2021Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models26 cited
    • 2014An Improvement the Accuracy of Grey Forecasting Model for Cargo Throughput in International Commercial Ports of Kaohsiung24 cited