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The Evaluation of Forecasting Techniques
Forecasting with Smoothing Techniques
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accuracy actual value adaptive filtering application of forecasting approach appropriate assumption autocorrelation basic pattern Box-Jenkins casting causal model chapter coefficient of determination confidence interval consider corporate correlation cost cyclical factor data base decomposition determine discussed double exponential smoothing double moving averages econometric estimate evaluate example F-statistic Figure firm fore forecast value forecasting application forecasting function forecasting methods forecasting procedure forecasting situations forecasting staff forecasting techniques historical data historical observations identified important independent variables involved manager mean absolute deviation mean square error method of forecasting month morphological box multiple regression needed number of observations observed values planning predict prepare a forecast problem qualitative forecasting quantitative randomness range regression analysis regression coefficient regression equation relationship relevance tree residuals significance simple regression specific standard error statistical Table technological forecasting term tion trend WEEK 13