Introduction to Time Series and Forecasting
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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Έκδοση: | 3rd ed. 2016. |
Σειρά: | Springer Texts in Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.