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Forecasting International Tourism Demand in Malaysia Using Box Jenkins Sarima Application
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Forecasting International Tourism Demand in Malaysia Using Box Jenkins Sarima Application (2010)Forecasting International Tourism Demand …Modeling tourism: A fully identified VECM approach (2009)Modeling tourism: A fully ide…The forecasting of International Expo tourism using quantitative and qualitative techniques (2008)The forecasting of Internatio…Forecasting tourism demand with ARMA-based methods (2008)Forecasting tourism demand wi…Combining volatility and smoothing forecasts of UK demand for international tourism (2008)Combining volatility and smoo…Analyzing and forecasting tourism demand with ARAR algorithm (2008)Analyzing and forecasting tou…Tourism forecasting: To combine or not to combine? (2007)Tourism forecasting: To combi…Modelling and forecasting Australian domestic tourism (2007)Modelling and forecasting Aus…Effects of News Shock on Inbound Tourist Demand Volatility in Korea (2006)Effects of News Shock on Inbo…Modelling multivariate international tourism demand and volatility (2004)Modelling multivariate intern…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 Turkey's tourism revenues by ARMAX model (2003)Forecasting Turkey's tourism …Forecasting tourism demand (2001)Forecasting tourism demandCointegration versus least squares regression (2001)Cointegration versus least sq…Asymmetric distance and business cycles (ΑDBC): A new understanding of distance in international trade models through the example of Iran's trade corridors (2024)Asymmetric distance and busin…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)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)The evaluation of tourism destination competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China (2010)A bibliometric analysis of social media in hospitality and tourism research (2019)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)A management orientated approach to combination forecasting of tourism demand (2010)Automated Box–Jenkins forecasting tool with an application for passenger demand in urban rail systems (2015)The Combination of Forecasts (1969)Macroeconomics and Reality (1980)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Tourism economics research: A review and assessment (2012)Testing for a Unit Root in Time Series Regression (1988)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Has the tourism-led growth hypothesis been validated? A literature review (2014)Time Series Analysis, Forecasting and Control. (1971)AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING (1980)Forecasting tourism demand with composite search index (2016)Forecasting tourist arrivals with machine learning and internet search index (2018)Statistical analysis of cointegration vectors (1988)Forecasting, Structural Time Series Models and the Kalman Filter (1990)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Forecasting Economic Time Series (2000)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)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)Tourism demand forecasting: A deep learning approach (2019)THE CONCEPT OF A TOURIST AREA CYCLE OF EVOLUTION: IMPLICATIONS FOR MANAGEMENT OF RESOURCES (1980)
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References

  • 2003Modelling and forecasting the demand for Hong Kong tourism236 cited
  • 2003Univariate versus multivariate time series forecasting: an application to international tourism demand227 cited
  • 2001Cointegration versus least squares regression224 cited
  • 2004Modelling multivariate international tourism demand and volatility216 cited
  • 2007Tourism forecasting: To combine or not to combine?210 cited
  • 2008Forecasting tourism demand with ARMA-based methods208 cited
  • 2007Modelling and forecasting Australian domestic tourism181 cited
  • 2001Forecasting tourism demand137 cited
  • 2008The forecasting of International Expo tourism using quantitative and qualitative techniques108 cited
  • 2008Combining volatility and smoothing forecasts of UK demand for international tourism93 cited
  • 2003Forecasting Turkey's tourism revenues by ARMAX model85 cited
  • 2006Effects of News Shock on Inbound Tourist Demand Volatility in Korea80 cited
  • 2009Modeling tourism: A fully identified VECM approach67 cited
  • 2008Analyzing and forecasting tourism demand with ARAR algorithm56 cited

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  • 2024Asymmetric distance and business cycles (ΑDBC): A new understanding of distance in international trade models through the example of Iran's trade corridors

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12 cited