, 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 …

Neural network, financial time series, approximation, forecasting. - Neuronale Netze, Finanzzeitreihen, Prognose …

survey expectations data in forecasting. …