Introduction to Time Series and Forecasting
Some of the key mathematical results are stated without proof in order to make the underlying theory accessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2002.
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Σειρά: | Springer Texts in Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Stationary Processes
- ARMA Models
- Spectral Analysis
- Modeling and Forecasting with ARMA Processes
- Nonstationary and Seasonal Time Series Models
- Multivariate Time Series
- State-Space Models
- Forecasting Techniques
- Further Topics
- Erratum.