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Applied Time Series Analysis and Forecasting with Python
Changquan Huang
(Author)
·
Alla Petukhina
(Author)
·
Springer
· Hardcover
Applied Time Series Analysis and Forecasting with Python - Huang, Changquan ; Petukhina, Alla
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Origin: U.S.A.
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Monday, July 15.
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Synopsis "Applied Time Series Analysis and Forecasting with Python"
- 1. Time Series Concepts and Python. - 2. Exploratory Time Series Data Analysis. - 3. Stationary Time Series Models. - 4. ARMA and ARIMA Modeling and Forecasting. - 5. Nonstationary Time Series Models. - 6. Financial Time Series and Related Models. - 7. Multivariate Time Series Analysis. - 8. State Space Models and Markov Switching Models. - 9. Nonstationarity and Cointegrations. - 10. Modern Machine Learning Methods for Time Series Analysis.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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