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Estimating Truncated Hotel Demand: A Comparison Of Low Computational Cost Forecasting Methods, Yue Ding
Estimating Truncated Hotel Demand: A Comparison Of Low Computational Cost Forecasting Methods, Yue Ding
Open Access Theses
The aim of this thesis is to evaluate the effectiveness of six selected low computational cost hotel demand forecasting methods (SA, SMA, EMA, DEMA, BP and PU) in terms of restoring truncated demand data, and then identify a low-cost and easy to follow demand forecasting method that can be used by U.S. independent hotels. Obtaining revenue gains by applying demand forecasting techniques have been proved by many studies in hospitality and other related industries. However, few studies have focused on low computational forecasting methods' comparison in hospitality field. For this reason, the author decided to test the performance of six …