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Description
"Program of the powerful model-free method of time series to analyze ..."< br> indir.biz Editor: the program's powerful time-series model-free method of analysis is based Caterpillar is based on (another name is SSA - Singular Spectrum Analysis). Visual control of aids to combine the advantages of simplicity, the other methods. Basic Caterpillar-one-dimensional time series analysis algorithms for the SSA-dimensional trajectory Matrix time series because of a delay through a conversion procedure (this whole technique) gave his name; occurs singular value decomposition matrix of orbit with the original time series of selected eigenvectors based on a series again. Caterpillar, a natural result of SSA time series decomposition process usually trends, and other oscillatory series, or seasonalities noise can be described as components includes various components. Method of natural and time-series and components, processing multidimensional time series estimates can be extended to change the point of detection. "Caterpillar" ideas independent Russia (St. Petersburg, Moscow) and also the name of the UK and the U.S. SSA (under, that is, developed Singular Spectrum Analysis). Construction of the new book Time Series "Analysis: SSA and Related Techniques", authors N. Golyandina, V. Nekrutkin and A. Zhigljavsky, SSA general theory and methodology of English, Chapman & Hall (in a careful manner, provides clear descr `ption and / CHS, see http://www.gistatgroup.com/cat/). Method of meteorology, hydrology, geophysics, climatology, time series analysis, a powerful and useful tool, and according to our experience, economics, biology, physics, medicine and other sciences, that is the short and long, one-dimensional and multi-dimensional and hard Nonstationary almost deterministic and noisy time series are to be analyzed. We are one in the near future "Caterpillar" method of time series analysis based methods, such as between the rank and be sure to include a standard statistical software. Now you can download free CaterpillarSSA 3.30.
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