| APPLET | SOURCE | DESCRIPTION |
|
| Forecasting Applet | McGraw-Hill | Users can view, adjust or add points to the example series or enter up to 20 observations of their own data, can employ exponential smoothing or trend adjusted exponential smoothing with various smoothing constants, or use the linear trend equation or simple linear regression and observe forecasts, MAD, and MSE. more |
| Statlets, Exponential Smoothing | Statgraphics online | Creates plots using simple, linear, quadratic, or Holt's linear smoothing for sample data or user-entered/imported data, user can adjust smoothing constants to observe effects on forecasts and MAPE. more |
| Measuring Forecast Accuracy | A Collection of JavaScript E-labs Learning Objects (Arsham) | For up to 14 observations and predictions, calculates mean absolute error, mean relative error, standard deviation of errors and Durbin Watson statistic. more |