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Scientific systems for the analysis of rhythmic phenomena, time series analysis and forecasting
Time Series Analysis Seriel Cosinor 6.3 software, new release Frebruary 2006
Time Series Single Cosinor 6.3 software, new release September 2005
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Time Series Analysis Seriel Cosinor 6.3 is compatible with Actiwatch, Cambridge Neurotechnology, Actimetric Systems
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Scientific softwares for the rhythms analysis, time series analysis and forecasting.
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These new versions, which have been tested and improved, offers many new features...
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They combine the Exploratory Data Analysis approach (Tukey) applied to the graphical analysis
of data in rhythmic phenomena (scatter plot, run sequence plot, lag plot, autocorrelation plot, Normality plot) with
powerful numerical statistical tests (K-S test, Q test, KW test, etc.)
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These new versions allow the researcher to use the entire range of "Cosinor" methodology (Nelson,
Bingham) the most complete (Confidence ellipses, modelisation, chronograms, polargrams, study of the residuals,
complete calculation of the chronobiological, chronobiometrical or chronoeconometric parameters)
It also provides the, most powerful different kinds of spectral analysis and periodograms (Jenkins and Watts,
Lomb and Scargle, Schwarzenberg-Cerny, Fourier, Burg MESA, Reverse Elliptic, "Percent rhythm") to detect periods. Features are offered such as :
complex demodulations plots, transformation of previous data (log, arcsin etc.), removing of linear trend, variance homogeneity plot of residuals, the graphs of Normality of residuals etc.
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These softwares have already been adopted as the best solution in many research centers and are used by great scientists
throughout the world...
Read more...
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Scientific and technical support is free. The intervening people is at least Engineers...
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.: Exploratory Data Analysis...New technologies of data analysis...The new edge...
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Over the past two decades, researchers at Bell Labs and several universities developed a new generation of computer-based tools that focus on interactive graphics and computer-intensive statistical methods. They facilitate data exploration and often avoid limiting assumptions...
New Technologies for Data Analysis by D. Jensen, "New Technologies for Data Analysis," Office of Technology Assessment. Washington, DC. December 12, 1991
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.: TSASC Lab View...The Max Planck Institute of Brain Research (Germany)
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