Introduction to Time Series and Forecasting
Springer International Publishing (Verlag)
978-3-319-29852-8 (ISBN)
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 | 02.08.2016 |
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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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