![]() ![]() ![]() ![]() Notice that the solution summary includes the forecast per period and the forecast for the next period (13), as well as three measures of forecast accuracy: average error (bias), mean absolute deviation ( MAD ), and mean squared error ( MSE ). (This item is displayed on page 691 in the print version) The solution output is shown in Exhibit 15.6. 30) forecast computed manually for PM Computer Services (Table 15.4). To demonstrate the forecasting capability of QM for Windows, we will generate the exponential smoothing ( a =. QM for Windows has modules for moving averages, exponential smoothing and adjusted exponential smoothing, and linear regression. QM for Windows has the capability to perform forecasting for all the time series methods we have described so far.
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