Fractal Modeling of Biomedical Time Series in S-PLUS
Seattle, WA (PRWEB) September 7, 2007
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.
Insightful Corporation (NASDAQ:IFUL) is a provider of predictive analytics and reporting solutions. Insightful products S-PLUS®, Insightful Miner™, and S-PLUS® Server allow companies to perform sophisticated statistical data analysis, data mining and create high-quality graphics for reporting results from numeric data. Insightful has been delivering industry-leading, high-ROI solutions to thousands of companies in financial services, life sciences, biotechnology, telecommunications, manufacturing, government agencies and research institutions for 20 years. Headquartered in Seattle, Insightful has offices in New York, North Carolina, France, Switzerland, and the United Kingdom, with distributors around the world. For more information, visit http://www.insightful.com, email info @ insightful.com or call 1-800-569-0123.
Note to Investors - Forward Looking Statements:
This press release contains forward-looking statements, including statements about the effect and contribution of the package releases and future research. Forward-looking statements are based on the judgment and opinions of management at the time the statements are made. Inaccurate assumptions and known and unknown risks and uncertainties can affect the accuracy of forward-looking statements. Actual results could differ materially from those expressed or implied by the forward-looking statements for a number of reasons, including, without limitation, the risk that we do not receive the government funding that we expect to receive or our new products do not perform as designed and expected. More detailed information regarding these and other factors that could affect actual results is set forth in our filings with the Securities and Exchange Commission, including our most recent report on Form 10-QSB. You should not unduly rely on these forward-looking statements, which apply only as of the date of this release. We undertake no obligation to update publicly any forward-looking statements to reflect new information, events or circumstances after the date of this release or to reflect the occurrence of anticipated events.
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