Introduction to Time Series and Forecasting
3rd Edition
Published on 26. September 2016
Book
Hardback
XIV, 425 pages
978-3-319-29852-8 (ISBN)
Description
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:
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
Reviews / Votes
"This is a very well-written textbook aimed at a wide audience of readers interested in time series methodologies and their applications to various fields." (Wilfredo Palma, Mathematical Reviews September, 2017)More details
Series
Edition
Third Edition 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Edition type
Revised edition
Illustrations
4 farbige Abbildungen, 114 s/w Abbildungen
XIV, 425 p. 118 illus., 4 illus. in color. With online files/update.
Dimensions
Height: 285 mm
Width: 215 mm
Thickness: 28 mm
Weight
1448 gr
ISBN-13
978-3-319-29852-8 (9783319298528)
DOI
10.1007/978-3-319-29854-2
Schweitzer Classification
Other editions
Additional editions
Peter J. Brockwell | Richard A. Davis
Introduction to Time Series and Forecasting
E-Book
08/2016
3rd Edition
Springer
€96.29
Available for download
Previous edition
Peter J. Brockwell | Richard A. Davis
Introduction to Time Series and Forecasting
Book
04/2013
2nd Edition
Springer
€96.29
Shipment within 15-20 days
Persons
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).
Content
Introduction.- Stationary Processes.- ARMA Models.- Spectral Analysis.- Modeling and Forecasting with ARMA Processes.- Nonstationary and Seasonal Time Series Models.- Time Series Models for Financial Data.- Multivariate Time Series.- State-Space Models.- Forecasting Techniques.- Further Topics.- Appendix A: Random Variables and Probability Distributions.- Appendix B: Statistical Complements.- Appendix C: Mean Square Convergence.- Appendix D: Lévy Processes, Brownian Motion and Itô Calculus.- Appendix E: An ITSM Tutorial.- References.- Index.