Data Driven Model Learning for Engineers
Author
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-31636-4
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Book Chapters
The following chapters of this book are listed in IDEAS- Guillaume Mercère, 2023. "Basic Concepts of Time Series Modeling," Springer Books, in: Data Driven Model Learning for Engineers, chapter 0, pages 1-7, Springer.
- Guillaume Mercère, 2023. "Singular Spectrum Analysis of Univariate Time Series," Springer Books, in: Data Driven Model Learning for Engineers, chapter 0, pages 9-30, Springer.
- Guillaume Mercère, 2023. "Trend and Seasonality Model Learning with Least Squares," Springer Books, in: Data Driven Model Learning for Engineers, chapter 0, pages 31-71, Springer.
- Guillaume Mercère, 2023. "Least Squares Estimators and Residuals Analysis," Springer Books, in: Data Driven Model Learning for Engineers, chapter 0, pages 73-120, Springer.
- Guillaume Mercère, 2023. "Residuals Modeling with AR and ARMA Representations," Springer Books, in: Data Driven Model Learning for Engineers, chapter 0, pages 121-157, Springer.
- Guillaume Mercère, 2023. "A Last Illustration to Conclude," Springer Books, in: Data Driven Model Learning for Engineers, chapter 0, pages 159-168, Springer.
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