LinSat for Java
LinSat estimates four linearly transformable functions and two saturation models for trend extrapolation. It computes four goodness-of-fit criteria, viz. RMSE = Root Mean Squared Error, MAD = Mean Absolute Deviation, MAPE = Mean Absolute Percentage Error, and MPE = Mean Percentage Error or Bias. Forecast values may be calculated for each function of the user's choice. Observed and fitted data are plotted in a line graph. The demo data file Sample17.dat contains 17 datapoints.
Note: You have to read and accept our download conditions before!
Unzip the linsat.zip file to a directory where you have writing and executing authority and start the batch file linsat.bat. Load the demo data in \data\sample17.dat.
File |
Version |
OS |
Location |
Size |
LinSat for Java |
1.0 |
all Java supported platforms |
5.4 MB |