Multivariate Software

statistiXL is a powerful data analysis add-in for Microsoft Excel. It has been written by scientists to meet the needs of anyone requiring a versatile statistics package that is quick to learn and easy to use. Tests include: ANOVA, Contingency Tables, Cluster Analysis, Correlation (Simple, Multiple, Canonical), Discriminant and Factor Analysis, Goodness of Fit, Regression, Nonparametric Tests, PCA, Uni and Multivariate t-Tests and many more.

The Unscrambler® helps you discover patterns and relationships in your data that traditional statistical methods and visual inspection cannot reveal. The Unscrambler®'s Multivariate Curve Resolution (MCR), Derivatives, Principal Components Analysis (PCA), PLSR Analysis, and Experimental Design capabilities are unparalleled. Readers of “Scientific Computing” cited it as one of the Top Five products in terms of ease of use and visualization.

Collection of advanced forecasting algorithms: ARIMA with automatic best parameter set search and smart seasonal trend detection. Stepwise multivariate regression with the selection of the best regression subset. Proven backhistory. Full intraday capable. Real-time speed in model training. Ready to use professional style Expert Advisors, Indicators and System Testers. Open scripts for for writing your own trading strategies.

The program is based on the powerful model-free method of time series analysis Caterpillar-SSA (Singular Spectrum Analysis). The result of the Caterpillar-SSA processing is identification, analysis and forecast of additive components of time series (trends, periodicities, noise). The program can be applied to multivariate analysis/forecasting and change-point detection.

FreeFore is a freeware version of AUTOBOX which has been developed and marketed by Automatic Forecasting Systems to build Box-Jenkins models (a super-set of regression and time series models .. ARIMA ) for univariate and multivariate data. It uses automatic modeling heuristics (not pick best) with intervention detection. It tailors the forecast model to the problem at hand including selecting the best lead and lag structures for each input seri..