Home

Overview

BinCom

Curvit

DTRN

Gini

BingSearch

IAA

LinSat

Portfolio

PSOM

SimSeg

SOMnia

TRN32

Guestmix

Conditions

Contact

LinSat

LinSat for Java

Description

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.

Download

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
(Win32 VM included)

HTTP

5.4 MB


Copyright 2010
| J. Mazanec and Institute for Tourism and Leisure Studies | 14.04.2010