This paper provides a significant numerical evidence for out-of-sample forecasting ability of linear Gaussian interest …

This study utilizes common time series forecasting methods to determine which of several simple, popular time series … forecasting techniques was the best predictor of the decline in United States weekly RevPAR as the lodging industry entered its … RevPAR data and utilized that data to test various moving average, exponential, and seasonal forecasting methods. The study …

The average hotel manager recognizes the criticality of forecasting. However, most managers are either frustrated by …, monthly and yearly (Wheaton & Rossof, 1998). This provides an opportunity for a time-series forecasting model for revenue … (Weatherford & Kimes, 2003; Banker & Chen, 2006; Schmidgall, 2006). Moreover, time-series forecasting models, if constructed …

, Euro zone and 4 EU countries and to identify the most appropriate forecasting ARIMA model for each time series. First, the … most appropriate ARIMA forecasting model of each time series are identified in the study. Practical investigation is … finalized with the comparison of PPI forecasting models of investigated countries. It has been identified that Austrian ARIMA …

analyzing health series data and detecting anomalies: using forecasting methods to predict the next day's value, subtracting the … and analyze the performance of a variety of heuristic methods.Second, we describe improvements for the forecasting of … health data series. The application of weather as a predictor, cross-series covariates, and ensemble forecasting each provide …

Time series forecasting is an important area of forecasting in which past observations of the same variable are … models, autoregressive (AR) techniques, moving averages (MA) etc. Recent research activities in forecasting also suggested … that artificial neural networks can be used as an alternative to traditional linear forecasting models. This study will …

respect of short-term forecasting in real time. To this end, we review the most relevant recent contributions to the …

recommend that the Agency adopt this composite forecasting method, that uses time series analysis and current National …