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Tourism Forecasting and its Relationship with Leading Economic Indicators
Wing Sing Cho
Department of Management and Marketing
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
97
Citations (Scopus)
Overview
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Social Sciences
Tourism Forecasting
100%
Socio-Economic Indicators
100%
Exponential Smoothing
66%
Time Series
33%
Korea
33%
UK
33%
Hong Kong
33%
Singapore
33%
Japan
33%
Keyphrases
Tourism Forecasting
100%
Autoregressive Integrated Moving Average (ARIMA)
100%
Leading Economic Indicators
100%
Forecasting Techniques
27%
Travel Demand
18%
Exponential Smoothing
18%
Economic Indicators
18%
Hong Kong
9%
Japan
9%
United States
9%
Taiwan
9%
United Kingdom
9%
Singapore
9%
Best Predictor
9%
Time Series Forecasting
9%
Visitor Arrivals
9%
Economics, Econometrics and Finance
ARMA Model
100%
Economic Indicator
100%
Tourism Forecasting
100%
Transport Demand
18%
Smoothing Technique
18%
Time Series
9%
Mathematics
Autoregressive Integrated Moving Average
100%
Time Series Forecasting
9%
Medicine and Dentistry
Time Series Analysis
100%