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About 2010 Time Series - An Introduction to Nonlinear Empirical Modeling Bezruchko Smirnov
Extracting Knowledge From Time Series An Introduction to Nonlinear Empirical Modeling Mathematical modelling is ubiquitous. Almost every book in exact science touches on mathematical models of a certain class of phenomena, on more or less specific approaches to construction and investigation of models, on their applications, etc. As many textbooks with similar titles, Part I of our book is devoted to general questions of modelling. Part II reflects our professional interests as physicists who spent much time to investigations in the field of non-linear dynamics and mathematical modelling from discrete sequences of experimental measurements (time series). The latter direction of research is known for a long time as “system identification” in the framework of mathematical statistics and automatic control theory. It has its roots in the problem of approximating experimental data points on a plane with a smooth curve.
Detailed Information
| Author: | ['Heraldo Souza'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 420 |
| Language: | English |
| Format: | |
| Price: | FREE |
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