The Analysis of Time Series

An Introduction with R
7. Auflage 2019
ISBN: 978-1-4987-9563-0
Verlag: Chapman and Hall/CRC

Buch, Englisch, 414 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 629 g

Reihe: Chapman & Hall/CRC Texts in Statistical Science

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, the Kalman filters, nonlinear models, volatility models, and multivariate models.

Autoren/Hrsg.

Chatfield, Chris

Xing, Haipeng

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

1. Introduction 2. Basic Descriptive Techniques 3. Some Linear Time Series Models 4. Fitting Time Series Models in the Time Domain 5. Forecasting 6. Stationary Processes in the Frequency Domain 7. Spectral Analysis 8. Bivariate Processes 9. Linear Systems 10. State-Space Models and the Kalman Filter 11. Non-Linear Models 12. Volatility Models 13. Multivariate Time Series Modelling 14. Some More Advanced Topics Appendix A Fourier, Laplace, and z-Transforms. Appendix B Dirac Delta Function. Appendix C Covariance and Correlation. Answers to Exercises.

Über Autor(innen)

Chris Chatfield is a retired Reader in Statistics at the University of Bath, UK, the author of five books and numerous research papers, and an elected Honorary Fellow of the International Institute of Forecasters.

Haipeng Xing is an associate professor in Applied Mathematics and Statistics at the State University of New York, Stony Brook, USA, the author of two books and numerous research papers. His research interests include quantitative finance and risk management, econometrics, applied stochastic control, and sequential statistical methodology.