Social and Behavioral Sciences Commons^™

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 …