| APPLET | SOURCE | DESCRIPTION |
|
| Forecasting by Smoothing | A Collection of JavaScript E-labs Learning Objects (Arsham) | For series with up to 80 observations, calculates forecasts and errors using: moving averages and weighted moving averages for specified period, single, double and triple exponential smoothing for specified alpha value, and Holt's linear smoothing for specified alpha and beta. more |
| Exponential Smoothing | CAPDM Tutorial Applets | For a specific data set, shows differences as smoothing constant is varied, also shows differences in moving averages as period is varied. more |
| 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 |
| Exponential Smoothing | Wessa.net | Calculates optimal alpha, forecasts, residuals, and displays graphs for exponential smoothing based on user-entered data, allows export to Excel. more |
| Exponential Smoothing Applet | Univ. of Saskatchewan, Dept. of Computer Science, Estimation and Forecasting Tutorials | Shows step-by-step exponential smoothing computations for user-entered data for an 8-period series or shows final calculations for default data. See also http://www.cs.usask.ca/content/resources/csconcepts/1999_6/Tutorial/index.html for a tutorial covering several Forecasting topics. more |