Linear models with R

✍ Scribed by Faraway, Julian James

• Publisher: CRC Press
• Year: 2015
• Tongue: English
• Leaves: 284
• Series: Texts in statistical science
• Edition: Second edition
• Category: Library

✦ Synopsis

"Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R. Features: demonstrates the flexibility of linear models in many examples; assumes basic knowledge of R and statistics; emphasizes intuition over rigorous proofs; presents exercises at the end of each chapter; [and] includes datasets and R commands." -- Back cover.  Read more...

Abstract: "Like its widely praised, best-selling predecessor, this edition combines statistics and R to seamlessly give a coherent exposition of the practice of linear modeling. The text offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using R. Features: demonstrates the flexibility of linear models in many examples; assumes basic knowledge of R and statistics; emphasizes intuition over rigorous proofs; presents exercises at the end of each chapter; [and] includes datasets and R commands." -- Back cover

✦ Table of Contents

Content: 1. Introduction --
2. Estimation --
3. Inference --
4. Prediction --
5. Explanations --
6. Diagnostics --
7. Problems with the predictors --
8. Problems with the errors --
9. Transformation --
10. Model selection --
11. Shrinkage methods --
12. Insurance redlining --
a complete example --
13. Missing data --
14. Categorical predictors --
15. One factor models --
16. Models with several factors --
17. Experiments with blocks --
Appendix A. About R.

✦ Subjects

Analysis of variance.;Regression analysis.;R (Computer program language) -- Mathematical models.;Regressionsanalyse;Varianzanalyse;Lineares Modell;R;Lineaire modellen.;R (computerprogramma);Statistische analyse.;Variansanalys.;Regressionsanalys.