The Resource Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book)
Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book)
Resource Information
The item Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- This book addresses the fundamental question of how to construct mathematical models for the evolution of dynamical systems from experimentally-obtained time series. It places emphasis on chaotic signals and nonlinear modeling and discusses different approaches to the forecast of future system evolution. In particular, it teaches readers how to construct difference and differential model equations depending on the amount of a priori information that is available on the system in addition to the experimental data sets. This book will benefit graduate students and researchers from all natural sc
- Language
- eng
- Extent
- 1 online resource (xxi, 405 p.)
- Contents
-
- Springer Complexity; Preface; Introduction; Contents; Some Abbreviations and Notations; Part I Models and Forecast; Chapter 1 The Concept of Model. What is Remarkable in Mathematical Models; Chapter 2 Two Approaches to Modelling and Forecast; Chapter 3 Dynamical (Deterministic) Models of Evolution; Chapter 4 Stochastic Models of Evolution; Part II Modelling from Time Series; Chapter 5 Problem Posing in Modelling from Data Series; Chapter 6 Data Series as a Source for Modelling; Chapter 7 Restoration of Explicit Temporal Dependencies; Chapter 8 Model Equations: Parameter Estimation
- Isbn
- 9783642126017
- Label
- Extracting knowledge from time series : an introduction to nonlinear empirical modeling
- Title
- Extracting knowledge from time series
- Title remainder
- an introduction to nonlinear empirical modeling
- Statement of responsibility
- Boris P. Bezruchko, Dmitry A. Smirnov
- Language
- eng
- Summary
- This book addresses the fundamental question of how to construct mathematical models for the evolution of dynamical systems from experimentally-obtained time series. It places emphasis on chaotic signals and nonlinear modeling and discusses different approaches to the forecast of future system evolution. In particular, it teaches readers how to construct difference and differential model equations depending on the amount of a priori information that is available on the system in addition to the experimental data sets. This book will benefit graduate students and researchers from all natural sc
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Bezruchko, Boris P
- Dewey number
- 003.857
- Illustrations
- illustrations
- Index
- index present
- LC call number
- Q172.5.C45
- LC item number
- B49 2010
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Smirnov, Dmitry A
- Series statement
-
- Springer complexity
- Springer series in synergetics,
- http://library.link/vocab/subjectName
-
- Chaotic behavior in systems
- Synergetics
- Label
- Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book)
- Bibliography note
- Includes bibliographical references and index
- Color
- multicolored
- Contents
- Springer Complexity; Preface; Introduction; Contents; Some Abbreviations and Notations; Part I Models and Forecast; Chapter 1 The Concept of Model. What is Remarkable in Mathematical Models; Chapter 2 Two Approaches to Modelling and Forecast; Chapter 3 Dynamical (Deterministic) Models of Evolution; Chapter 4 Stochastic Models of Evolution; Part II Modelling from Time Series; Chapter 5 Problem Posing in Modelling from Data Series; Chapter 6 Data Series as a Source for Modelling; Chapter 7 Restoration of Explicit Temporal Dependencies; Chapter 8 Model Equations: Parameter Estimation
- Control code
- SPR676698613
- Dimensions
- unknown
- Extent
- 1 online resource (xxi, 405 p.)
- Form of item
- online
- Isbn
- 9783642126017
- Other physical details
- ill.
- Specific material designation
- remote
- Label
- Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book)
- Bibliography note
- Includes bibliographical references and index
- Color
- multicolored
- Contents
- Springer Complexity; Preface; Introduction; Contents; Some Abbreviations and Notations; Part I Models and Forecast; Chapter 1 The Concept of Model. What is Remarkable in Mathematical Models; Chapter 2 Two Approaches to Modelling and Forecast; Chapter 3 Dynamical (Deterministic) Models of Evolution; Chapter 4 Stochastic Models of Evolution; Part II Modelling from Time Series; Chapter 5 Problem Posing in Modelling from Data Series; Chapter 6 Data Series as a Source for Modelling; Chapter 7 Restoration of Explicit Temporal Dependencies; Chapter 8 Model Equations: Parameter Estimation
- Control code
- SPR676698613
- Dimensions
- unknown
- Extent
- 1 online resource (xxi, 405 p.)
- Form of item
- online
- Isbn
- 9783642126017
- Other physical details
- ill.
- Specific material designation
- remote
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Extracting-knowledge-from-time-series--an/SntLBOkl7HA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Extracting-knowledge-from-time-series--an/SntLBOkl7HA/">Extracting knowledge from time series : an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
