rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Extracting Knowledge From Time Series
    sub title: An Introduction to Nonlinear Empirical Modeling
  name:
    name part: Bezruchko, Boris P.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Smirnov, Dmitry A.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 410 p. 162 illus. online resource.
  abstract: 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 sciences who seek a self-contained and thorough introduction to this subject.
  table of contents: Models And Forecast -- The Concept of Model. What is Remarkable in Mathematical Models -- Two Approaches to Modelling and Forecast -- Dynamical (Deterministic) Models of Evolution -- Stochastic Models of Evolution -- Modeling From Time Series -- Problem Posing in Modelling from Data Series -- Data Series as a Source for Modelling -- Restoration of Explicit Temporal Dependencies -- Model Equations: Parameter Estimation -- Model Equations: Restoration of Equivalent Characteristics -- Model Equations: “Black Box” Reconstruction -- Practical Applications of Empirical Modelling -- Identification of Directional Couplings -- Outdoor Examples.
  note: by Boris P. Bezruchko, Dmitry A. Smirnov.
  subject:
    topic: Physics
  subject:
    topic: Geophysics
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Environmental sciences
  subject:
    topic: Economic theory
  subject:
    topic: Physics
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  subject:
    topic: Geophysics/Geodesy
  subject:
    topic: Quantitative Finance
  subject:
    topic: Economic Theory/Quantitative Economics/Mathematical Methods
  subject:
    topic: Environmental Physics
  classification: QC174.7-175.36
  classification: 621
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Synergetics
  identifier: 9783642126017
  identifier: http://dx.doi.org/10.1007/978-3-642-12601-7
  record info:
    record creation date: 100907
    record change date: 20151204191147.0
    record identifier: 978-3-642-12601-7