Time series for data science : analysis and forecasting / Wayne A. Woodward, Bivin P. Sadler and Stephen D. Robertson
Material type:
TextSeries: Texts in Statistical SciencePublication details: Boca Raton CRC Press 2022Description: 506pISBN: - 9780367537944
- 519.55 WOO-W
| Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Books
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BITS Pilani Hyderabad | 510 | General Stack (For lending) | 519.55 WOO-W (Browse shelf(Opens below)) | GBP 99.99 | Available | 48516 |
This book will be written at a level that requires little or no calculus but does not shy away from giving students more than a cursory understanding of the fundamentals and techniques involved. It will cover time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It gives more emphasis to classical ARMA and ARIMA models than is found in similar-level texts. Knowing that students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, we discuss techniques of ensemble modeling for combining information from several strategies (multivariate, VAR, neural networks, etc.)
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