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Time series prediction [electronic resource] : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992

Time series prediction [electronic resource] : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992

자료유형
E-Book(소장)
개인저자
Weigend, Andreas S. Gershenfeld, Neil A.
서명 / 저자사항
Time series prediction [electronic resource] : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992 / editors Andreas S. Weigend, Neil A. Gershenfeld.
발행사항
New York, NY :   Routledge, Taylor & Francis Group,   c1994.  
형태사항
1 online resource (xx, 643 p.) : ill.
기타형태 저록
Print version:   Time series prediction : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992   9780201626025   (211009) 000045409473  
총서사항
A Proceedings volume, Santa Fe Institute studies in the sciences of complexity ;XV
ISBN
9780429492648 (electronic bk.) 0429492642 (electronic bk.) 9780201626025
일반주기
Title from e-Book title page.  
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Time-series analysis --Congresses.
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260 ▼a New York, NY : ▼b Routledge, Taylor & Francis Group, ▼c c1994.
300 ▼a 1 online resource (xx, 643 p.) : ▼b ill.
490 1 ▼a A Proceedings volume, Santa Fe Institute studies in the sciences of complexity ; ▼v XV
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Time-series analysis ▼v Congresses.
700 1 ▼a Weigend, Andreas S.
700 1 ▼a Gershenfeld, Neil A.
711 2 ▼a NATO Advanced Research Workshop on Comparative Time Series Analysis ▼d (1992 : ▼c Santa Fe, N.M.).
776 0 8 ▼i Print version: ▼t Time series prediction : forecasting the future and understanding the past : proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, held in Santa Fe, New Mexico, May 14-17, 1992 ▼z 9780201626025 ▼w (211009) 000045409473
830 0 ▼a Proceedings volume in the Santa Fe Institute studies in the sciences of complexity ; ▼v v. 15.
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945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 003.2 등록번호 E14011682 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

목차

Cover -- Half Title -- Title -- Copyright -- Contents -- Preface -- The Future of Time Series: Learning and Understanding -- Section I. Description of the Data Sets -- Lorenz-Like Chaos in NH3-FIR Lasers (Data Set A) -- Multi-Channel Physiological Data: Description and Analysis (Data Set B) -- Foreign Currency Dealing: A Brief Introduction (Data Set C) -- Whole Earth Telescope Observations of the White Dwarf Star (PG1159-035) (Data Set E) -- Baroque Forecasting: On Completing J. S. Bach’s Last Fugue (Data Set F) -- Section II. Time Series Prediction -- Time Series Prediction by Using Delay Coordinate Embedding (Data Set A) -- Time Series Prediction by Using a Connectionist Network with Internal Delay Lines (Data Set A) -- Simple Architectures on Fast Machines: Practical Issues in Nonlinear Time Series Prediction (Data Sets C,D,F) -- Neural Net Architectures for Temporal Sequence Processing (Data Set C) -- Forecasting Probability Densities by Using Hidden Markov Models with Mixed States (Data Set D) -- Time Series Prediction by Using the Method of Analogues (Data Set A) -- Modeling Time Series by Using Multivariate Adaptive Regression Splines (MARS) (Data Sets A,B,C) -- Visual Fitting and Extrapolation (Data Set A) -- Does a Meeting in Santa Fe Imply Chaos? (Data Set A) -- Section III. Time Series Analysis and Characterization -- Exploring the Continuum Between Deterministic and Stochastic Modeling (Data Sets A,B,D) -- Estimating Generalized Dimensions and Choosing Time Delays: A Feist Algorithm (Data Sets A,D) -- Identifying and Quantifying Chaos by Using Information-Theoretic Functionals (Data Sets A,D,E) -- A Geometrical Statistic for Detecting Deterministic Dynamics (Data Sets A,B,C,D) -- Detecting Nonlinearity in Data with Long Coherence Times (Data Set E) -- Nonlinear Diagnostics and Simple Trading Rules for High-Frequency Foreign Exchange Rates (Data Set C) -- Noise Reduction by Local Reconstruction of the Dynamics (Data Set A) -- Section IV. Practice and Promise -- Large-Scale Linear Methods for Interpolation, Realization, and Reconstruction of Noisy, Irregularly Sampled Data -- Complex Dynamics in Physiology and Medicine -- Forecasting in Economics -- Finite-Dimensional Spatial Disorder: Description and Analysis -- Spatio-Temporal Patterns: Observations and Analysis -- Appendix: Accessing the Server -- Bibliography -- Index -- .

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