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Download CaterpillarSSA v3.30

Screenshot of CaterpillarSSA v3.30

CaterpillarSSA program performs extended analysis, forecasting and change-point detection for one-dimensional time series and analysis/forecast of multi-dimensional time series. Macros tools, which serve to remember sequences of program procedures and to perform them automatically, are added. The program works under Windows 9x/NT/2000/Me/XP. You can download evaluation version and try it for 30 days.

Features:

  • Decomposition of one-dimensional time series into eigentriples (eigenvalues, eigenvectors and principal components)
  • Convenient graphical visualization of results for identification of the eigentriples corresponding to trend, periodicities, noise
  • Grouping of eigentriples that leads to expansion of the time series into additive components
  • Reconstruction of time series components (trend, oscillations, periodicities, noise) by choice of eigentriples
  • Residual analysis
  • Approximation (local) of time series by finite-rank series
  • Forecast by vector and recurrent methods
  • Analyzing the linear recurrent formula used for the recurrent forecast method
  • Confidence intervals by empirical and bootstrap methods
  • Construction of envelopes (channels)
  • Testing the forecast results on validation period
  • Change-point detection by comparing the 'Caterpillar-SSA' structures of the base and test time series intervals
  • Construction of heterogeneity matrix and detection functions
  • Analyzing the found structural changes by moving root and modulus functions
  • Simultaneous decomposition of several one-dimensional time series into common eigentriples (eigenvalues, eigenvectors and principal components)
  • Convenient graphical visualization of results for identification of the eigentriples corresponding to trend, common periodicities, noise
  • Grouping of eigentriples that leads to expansion of the time series into additive components
  • Reconstruction of the time series components (trend, oscillations, periodicities, noise) by choice of eigentriples
  • Approximation (local) of time series by finite-rank series
  • Forecast by vector and recurrent methods

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CaterpillarSSA v3.30

(30 days evaluation version)