why ses is used for forecasting when a time series follows an ima(1,1) process and single exponential smoothing is used as a forecasting method, should we select a low smoothing constant what is ses used for when a time series follows an ima(1,1) process and single exponential smoothing (ses) is used as a forecasting method, should we select a low smoothing constant when a time series follows an ima(1,1) process and single exponential smoothing (ses) is used as a forecasting method, should we select a low smoothing constant when a time series follows an ima(1,1) process, should we select a small smoothing constant ($a>0.3%) or a large smoothing constant ($a>0.5%)? when do we use ses for forecasting when predicting an ima time series using ses what is the smoothing constant for an ima process when forecasting an ima process using ses, should we select a low smoothing constant (alpha) or a larger one (ses)? which smoothing constant is used for the sse what is the ses curve used for? what is the smoothing constant in a ses why use ses what is the smoothing constant for ima forecast when a time series follows an IMA(1,1) process and single exponential smoothing is used as a forecasting method, should we select a low smoothing constant or a larger one? a. ses b. apex exponential smoothing, c. when forecasting an ima process using a ses method, should we select a low smoothing constant or a large smoothing? what is a smoothing constant in IMA when a time series follows an ima(1,1) process and single exponential smoothing (ses) is used as a forecasting method how to forecast a IMA(1,1) process