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The Evaluation of Forecasting Techniques
Forecasting with Smoothing Techniques
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accuracy actual value adaptive filtering approach appropriate assumption autocorrelation Box-Jenkins casting causal model chapter coefficient of determination confidence interval consider corporate correlation cost cyclical factor data base decomposition determine deviation discussed double moving averages estimate evaluate example F-statistic Figure firm fore forecast value forecasting application forecasting function forecasting methods forecasting procedure forecasting situation forecasting staff forecasting techniques historical data historical observations horizon identify important independent variables industry involved linear manager mean absolute deviation mean squared error method of forecasting month morphological box multiple regression number of observations observed values parameters period planning predict probability problem qualitative forecasting quantitative randomness regression analysis regression coefficient regression equation relationship relevance tree residuals significance simple regression specific standard error statistical Table technological forecasting term time-series tion trend underlying pattern understand users and preparers weights