Linear Model and Extensions
$138.42
- Paperback
412 pages
- Release Date
30 October 2026
Summary
The linear model and its extensions play fundamental roles in both theoretical and applied statistics, due to their transparency and interpretability in modeling empirical data. This textbook, based on the author’s course on linear modeling at UC Berkeley taught over the past ten years, only requires basic knowledge of linear algebra, probability theory, and statistical inference. It assumes minimal knowledge of linear modeling, and reviews basic linear algebra, probability, and statistics in…
Book Details
| ISBN-13: | 9781032825502 |
|---|---|
| ISBN-10: | 1032825502 |
| Author: | Peng Ding |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Chapman & Hall/CRC |
| Format: | Paperback |
| Number of Pages: | 412 |
| Release Date: | 30 October 2026 |
| Weight: | 820g |
| Dimensions: | 178mm x 254mm |
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Peng Ding
Peng Ding is a Professor in the Department of Statistics at UC Berkeley. His research focuses on causal inference and its applications.
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