Titlebook: Extracting Knowledge From Time Series; An Introduction to N Boris P. Bezruchko,Dmitry A. Smirnov Book 2010 Springer-Verlag Berlin Heidelber

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Stochastic Models of Evolutionither via explicit definition of their statistical properties (probability density functions, correlation functions, etc., Sects. 4.1, 4.2 and 4.3) or via stochastic difference or differential equations. Some of the most widely known equations, their properties and applications are discussed in Sects. 4.4 and 4.5.

Tonometry

Jean-Pierre Chevallet,Yves Chiaramellaedings on civil engineering several centuries BC. Currently, it relates to an enormously wide range of material objects, symbolic structures and ideal images ranging from models of clothes, small copies of ships and aeroplanes, different pictures and plots to mathematical equations and computational

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https://doi.org/10.1007/978-3-7091-1538-1does not pretend to a precise and unique forecast of future states, then a . is traditionally used. Then, some quantities describing an object under investigation are ., i.e. fundamentally unpredictable, stochastic.. Such a “verdict” may be based on different reasoning (Sect. 2.2) but if it is accep

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Switchyards-Routing Structures in the Brain,ither via explicit definition of their statistical properties (probability density functions, correlation functions, etc., Sects. 4.1, 4.2 and 4.3) or via stochastic difference or differential equations. Some of the most widely known equations, their properties and applications are discussed in Sect

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https://doi.org/10.1007/978-3-319-23871-5d represent them with a scheme (Fig. 5.1). The procedure is started with consideration of available information about an object (including previously obtained experimental data from the object or similar ones, a theory developed for the class of objects under investigation and intuitive ideas) from

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https://doi.org/10.1007/978-94-009-3479-5equations, e.g., like Kirchhoff’s laws in the theory of electric circuits. When an empirical model is constructed from a time realisation, it is a separate task to reveal relationships between model parameters and object characteristics. It is not always possible to measure all variables entering mo

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seruting

Werner Olivier,Rossouw von Solmstriguing thing is that a model capable of reproducing an observed behaviour or predicting further evolution should be obtained only from an observed time series, i.e. “from nothing” at first sight. Chances for a success are not large. Even more so, a “good” model would become a valuable tool to char

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