Forecasting: Methods and ApplicationsBackgound and perspective; Smoothing and decomposition time-series methods; Regression methods; Autoregressive/moving average time-series methods; Qualitative and technological methods; Integrating forecasting and planning in the organziation; Data procurement preparation and handling; Organizational and behavioral aspects of forecasting. |
Contents
INTRODUCTION | 4 |
FUNDAMENTALS OF QUANTITATIVE FORECASTING | 14 |
PART TWO SMOOTHING AND DECOMPOSITION | 42 |
Copyright | |
18 other sections not shown
Common terms and phrases
accuracy actual adaptive addition adjusted alternative analysis application approach appropriate ARMA autocorrelations autos becomes calculated Chapter coefficients computed correlation cost cycle decision dependent described determine developed econometric economic effect equation error estimates examined example existing exponential smoothing factors Figure filtering final forecasting methods function future given gives identify illustrate important increase independent variables indicates individual involved lags linear mean measure months moving average needed observations obtained organization parameters partial pattern percentage period planning points possible predict preparers probability problem procedure quantitative random regression relationship residuals seasonal shown shows simple single situation specific squared standard statistical step Table techniques technological time-series trend unit users values variable variation weights X₁ zero