Linear models with R / Julian J. Faraway.
Material type:
TextSeries: Chapman & Hall/CRC texts in statistical science seriesPublication details: Boca Raton : CRC Press, 2015.Edition: 2nd edDescription: xii, 274 p. : illustrations ; 25 cmISBN: - 9781439887332 (hardcover : alk. paper)
- 000SA.062 23 F219
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.062 F219 (Browse shelf(Opens below)) | Available | 135676 |
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| 000SA.062 C435 Some nonparametric hybrid predictive models: asymptotic properties and applications/ | 000SA.062 C554 Plane answers to complex questions | 000SA.062 D229 Advances in growth curve models : | 000SA.062 F219 Linear models with R / | 000SA.062 G151 Linear mixed-effects models using R : | 000SA.062 G885 Matrix algebra for linear models / | 000SA.062 H685 Methods and applications of linear models : |
"A CRC title."
Includes bibliographical references and index.
1. Introduction--
2. Estimation--
3. Inference--
4. Prediction--
5. Explanation--
6. Diagnostics--
7. Problems with the predictors--
8. Problems with the error--
9. Transformation--
10. Model selection--
11. Shrinkage methods--
12. Insurance redlining- A complet example--
13. Missing data--
14. Categorical predictors--
15. One factor models--
16. Models with several factors--
17. Experiments with blocks--
A about R
Bibliography--
Index.
The second edition reorganizes the material on interpreting linear models to distinguish the main applications of prediction and explanation. Elementary notions of causality are introduced and new topics include the QR decomposition, splines, additive models, Lasso, multiple imputation, and false discovery rates. Statistical strategy is covered and the author uses the ggplot2 graphics package in addition to base graphics.
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