Statistical Time Series Analysis Toolbox v2.1 is a collection of O-Matrix functions for analyzing time-dependent observations. Functions include nonparametric, nonlinear time series analysis; singular spectrum analysis on univariate time series; and proper orthogonal decomposition analysis. STSA handles descriptive and graphical analysis, model identification, fitting and forecasting, residual diagnostic checking, spectral analysis, filtering and smoothing, and optimization.

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BRECKENRIDGE, Colorado, November 27, 2006 - Harmonic Software has released version 2.1 of STSA, The Statistical Time Series Analysis Toolbox for O-Matrix. This release includes a significant number of additions and enhancements.

STSA v2.1 includes new functions for:

o Nonparametric, nonlinear time series analysis

o Singular Spectrum Analysis (SSA) on univariate time series

o Proper Orthogonal Decomposition (POD) analysis

o Additional functions for general statistical analysis and visualization

More details on what’s new with STSA v2.1 can be found on the O-Matrix home page at: http://www.omatrix.com/stsaV21.html

The STSA toolbox is a collection of O-Matrix functions for analyzing time-dependent observations (time series). This toolbox provides an easy to use, efficient solution for a broad range of analysis requirements including:
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descriptive and graphical analysis, model identification, fitting and forecasting, residual diagnostic checking, spectral analysis, filtering and smoothing, and optimization. The functions of the toolbox combine breadth of applications, ease of use and the speed and computing power of O-Matrix to provide an integrated working environment for analyzing time series data.

The functions can be easily incorporated into other functions by the user thus limiting the time needed for writing programs or prototyping new routines.

The STSA toolbox has functions that cover most standard time series analysis plus a number of related functions not directly found in the main O-Matrix distribution or related products. The distribution includes numerous examples using real-world and simulated data that is provided and can be used as a starting point for using the Times Series Analysis toolbox.

The Time Series Analysis toolbox enables the development of analysis and turnkey solutions in a broad range of industries including:

o Financial and economic forecasting

o Sales forecasting and inventory control

o Modeling and forecasting of physical time series in areas such as hydrology, astronomy, oceanography, biology, and earth sciences

o Analysis of flight test and dynamic system data

o Medical data analysis

Pricing and Availability