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时间序列预测第2版.pdf
(2.38 MB)
1. Introduction
2. Stationary processes
3. ARMA models
4. Spectral analysis
5. Modeling and Forecasting with Arma Processes
6. Nonstationary and seasonal time series models
7. Multivariate time series
8. State-Space models
9. Forecasting techniques
10. Futher topics
A. Random variables and Probability Distributions
B. Statistical complements
C. Mean square convergence
D. An ITSM Tutorial
References
Index
这本书对于学习时间序列预测方法，掌握各种模型还是很有帮助的。象征性的收1个金币。
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