series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …

In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …

series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …

In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk … general, neural network models perform better than the traditionally used time series models in forecasting exchange rates. …

In this paper, the exchange rate forecasting performance of neural network models are evaluated against the random walk … general, neural network models perform better than the traditionally used time series models in forecasting exchange rates. …

underwriters and issuing firms in the Japanese corporate bond market, stochastic life table forecasting: a time-simultaneous fan …

, infrastructure development and conducive business environments need to be developed. For that, accurate forecasting of international … purpose of this study is to develop accurate forecasting models for total international arrivals in Sri Lanka and its top 10 … forecasting is necessary for tourism strategies and planning, and (c) the SARIMA method provides accurate forecasts in the …