Name: Applied Time Series Analysis and Forecasting with Python
Price: 3695.00 TWD
Availability: InStock
Author: Huang, Changquan ; Petukhina, Alla
ISBN: 9783031135835

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portada Applied Time Series Analysis and Forecasting with Python

Applied Time Series Analysis and Forecasting with Python

Type

Physical Book

Author

Changquan Huang

Alla Petukhina

Publisher

Springer

Language

English

Pages

372

Format

Hardcover

Dimensions

23.4 x 15.6 x 2.2 cm

Weight

0.71 kg.

ISBN13

9783031135835

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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Applied Time Series Analysis and Forecasting with Python - Huang, Changquan ; Petukhina, Alla

Synopsis "Applied Time Series Analysis and Forecasting with Python "

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