Insightful Corporation Releases Fractal Time Series Analysis Software

Analytics software sponsored by the National Institute of Health and the Air Force Office of Scientific Research

SEATTLE - September 6, 2007 -

(PRWEB) — Insightful Corporation (NASDAQ: IFUL), a leading provider of predictive analytics and reporting solutions, announced today the immediate release of three time series analysis software packages via Insightful’s Comprehensive S-PLUS® Archive Network (CSAN). The development of these software packages was supported by the National Institutes of Health under grant number R44LM007146, entitled "Fractal Modeling of Biomedical Time Series in S-PLUS," and by the Air Force Office of Scientific Research under contract number F49620-99-C-0039, entitled “Wavelet-Based Analysis and Software for Multi-Scale Fractal Processes.”

“We are pleased to have developed and released the first S-PLUS packages for fractal time series modeling and analysis,” said Dr. Jill R. Goldschneider, director of research of Insightful. “We believe these S-PLUS packages will contribute to research in advanced statistical computing around the world, reinforcing Insightful’s leadership in the development of cutting edge statistics.”

Simply put, the term "fractal" means that certain statistical measures of data are invariant upon rescaling the data. However, the measures are quite different for stochastic and deterministic models (e.g., invariance in distributional properties in the former and invariance in space-filling properties in the latter). Researchers have used stochastic fractal models to interpret observed data from real-world systems such as cardio-dynamics (heart rate variability), turbulence, atmospheric and climate changes, atomic clock deviations, sea ice measurements and blood flow.
Insightful has released the following time series packages via CSAN at http://csan.insightful.com:

* FRACTAL: stochastic fractal time series and nonlinear modeling
* WMTSA: wavelet methods for time series analysis
* SAPA: spectral analysis for physical applications

Funding from the awards was recorded in the company’s financial statements as a reduction to research and development expense. The contents of the results of the grants are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health or the Air Force Office of Scientific Research.

Statistical analysis software