Introduction to Time Series and Forecasting
Brockwell, Peter J.
ISBN 10: 3319298526 ISBN 13: 9783319298528
Published by Springer International Publishing AG, 2016
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About this Item
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Synopsis:
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details.
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. Many additional special topics are also covered.
New to this edition:
- A chapter devoted to Financial Time Series
- Introductions to Brownian motion, Lévy processes and Itô calculus
- An expanded section on continuous-time ARMA processes
About the Author:
Peter J. Brockwell and Richard A. Davis are Fellows of the American Statistical Association and the Institute of Mathematical Statistics and elected members of the International Statistics institute. Richard A. Davis is the current President of the Institute of Mathematical Statistics and, with W.T.M. Dunsmuir, winner of the Koopmans Prize. Professors Brockwell and Davis are coauthors of the widely used advanced text, Time Series: Theory and Methods, Second Edition (Springer-Verlag, 1991).
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Introduction to Time Series and Forecasting
Publisher: Springer International Publishing AG
Publication Date: 2016
Binding: Hardcover
Condition: Like New
Edition: 3rd Edition
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Introduction to Time Series and Forecasting
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ISBN 10: 3319298526
ISBN 13: 9783319298528
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Designed for use in full-year courses introducing univariate and multivariate time series and forecasting at the advanced undergraduate and graduate levelsExercise problems at the end of each chapter reinforce the methods through use of the program. Seller Inventory # 117180420
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Introduction to Time Series and Forecasting
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details.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. Many additional special topics are also covered.New to this edition:A chapter devoted to Financial Time SeriesIntroductions to Brownian motion, Lévy processes and Itô calculusAn expanded section on continuous-time ARMA processes. Seller Inventory # 9783319298528
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Introduction to Time Series and Forecasting
Published by
Springer-Verlag Gmbh Sep 2016, 2016
ISBN 10: 3319298526
ISBN 13: 9783319298528
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Buch. Condition: Neu. Neuware -This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 425 pp. Englisch. Seller Inventory # 9783319298528
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Introduction to Time Series and Forecasting
Published by
Springer-Verlag Gmbh Sep 2016, 2016
ISBN 10: 3319298526
ISBN 13: 9783319298528
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasting methods as applied to economics, engineering and the natural and social sciences. It assumes knowledge only of basic calculus, matrix algebra and elementary statistics. This third edition contains detailed instructions for the use of the professional version of the Windows-based computer package ITSM2000, now available as a free download from the Springer Extras website. The logic and tools of time series model-building are developed in detail. Numerous exercises are included and the software can be used to analyze and forecast data sets of the user's own choosing. The book can also be used in conjunction with other time series packages such as those included in R. The programs in ITSM2000 however are menu-driven and can be used with minimal investment of time in the computational details.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. Many additional special topics are also covered.New to this edition:A chapter devoted to Financial Time SeriesIntroductions to Brownian motion, Lévy processes and Itô calculusAn expanded section on continuous-time ARMA processes 425 pp. Englisch. Seller Inventory # 9783319298528
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