Introduction to Time Series and Forecasting - Peter J. Brockwell, Richard A. Davis

Introduction to Time Series and Forecasting

Buch | Hardcover
XIV, 425 Seiten
2016 | 3rd ed. 2016
Springer International Publishing (Verlag)
978-3-319-29852-8 (ISBN)
90,94 inkl. MwSt
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

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).

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.

"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)

“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)

Erscheinungsdatum
Reihe/Serie Springer Texts in Statistics
Zusatzinfo XIV, 425 p. 118 illus., 4 illus. in color. With online files/update.
Verlagsort Cham
Sprache englisch
Maße 210 x 279 mm
Gewicht 1388 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Wirtschaft Volkswirtschaftslehre Ökonometrie
Schlagworte Econometrics • Financial Time Series • Forecasting • Forecasting Techniques • ITSM2000 • mathematics and statistics • multivariate time series • Spectral Analysis • State-space Models • Stationary processes • Statistical Theory and Methods • Statistics for Business/Economics/Mathematical Fin • Statistics for Engineering, Physics, Computer Scie • Univariate time series • Zeitreihenanalyse
ISBN-10 3-319-29852-6 / 3319298526
ISBN-13 978-3-319-29852-8 / 9783319298528
Zustand Neuware
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