A Modern Approach to Regression with R
A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. The regression output and plots tha...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York : Imprint: Springer,
2009.
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| Series: | Springer Texts in Statistics,
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Simple Linear Regression
- Diagnostics and Transformations for Simple Linear Regression
- Weighted Least Squares
- Multiple Linear Regression
- Diagnostics and Transformations for Multiple Linear Regression
- Variable Selection
- Logistic Regression
- Serially Correlated Errors
- Mixed Models.