Introduction to Time Series and Forecasting
Brockwell, Peter J.; Davis, Richard A.
ISBN 10: 1475777507 ISBN 13: 9781475777505
Verlag: Springer, 2013
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Softcover
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Inhaltsangabe:
This book is aimed at the reader who wishes to gain a working knowldege of time series and forecasting methods as applied in economics, engineering, and the natural and social sciences.
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„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Titel: Introduction to Time Series and Forecasting
Verlag: Springer
Erscheinungsdatum: 2013
Einband: Softcover
Zustand: New
Auflage: 2. Auflage
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Introduction to Time Series and Forecasting; 2nd Edition
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Softcover. Zustand: Very Good. Second Edition. Book is in very good condition. Text appears to be clean. Cover has some wear, scuffs,dings and corner bumps. Spine is in very good condition. May have book store sticker. May have knicks on spine or cover. Multiple copies available this title. Quantity Available: 2. Shipped Weight: Under 1 kilo. Category: Education; ISBN: 1475777507. ISBN/EAN: 9781475777505. Pictures of this item not already displayed here available upon request. Inventory No: 1561046178. Bestandsnummer des Verkäufers 1561046178
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Bestandsnummer des Verkäufers Z1-J-014-01820
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Introduction to Time Series and Forecasting
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed and numerous exercises, many of which make use. Bestandsnummer des Verkäufers 4207930
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Introduction to Time Series and Forecasting
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Taschenbuch. Zustand: Neu. Introduction to Time Series and Forecasting | Richard A. Davis (u. a.) | Taschenbuch | xiv | Englisch | 2013 | Springer US | EAN 9781475777505 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 105651227
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Introduction to Time Series and Forecasting
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills. Statisticians and students will learn the latest methods in time series and forecasting, along with modern computational models and algorithms. 452 pp. Englisch. Bestandsnummer des Verkäufers 9781475777505
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Introduction to Time Series and Forecasting (Paperback)
Verlag:
Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10: 1475777507
ISBN 13: 9781475777505
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Paperback. Zustand: new. Paperback. Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and nonstationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to nonlinear, continuous-time and long-memory models. The time series package included in the back of the book is a slightly modified version of the package ITSM, published separately as ITSM for Windows, by Springer-Verlag, 1994. It does not handle such large data sets as ITSM for Windows, but like the latter, runs on IBM-PC compatible computers under either DOS or Windows (version 3.1 or later). The programs are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis. This is an introduction to time series that emphasizes methods and analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781475777505
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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Introduction to Time Series and Forecasting
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and nonstationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to nonlinear, continuous-time and long-memory models. The time series package included in the back of the book is a slightly modified version of the package ITSM, published separately as ITSM for Windows, by Springer-Verlag, 1994. It does not handle such large data sets as ITSM for Windows, but like the latter, runs on IBM-PC compatible computers under either DOS or Windows (version 3.1 or later). The programs are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis. Bestandsnummer des Verkäufers 9781475777505
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
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