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Book Categories |
Preface | ||
1 | The Origins of Local Regression | 1 |
2 | Local Regression Methods | 15 |
3 | Fitting with LOCFIT | 45 |
4 | Local Likelihood Estimation | 59 |
5 | Density Estimation | 79 |
6 | Flexible Local Regression | 101 |
7 | Survival and Failure Time Analysis | 119 |
8 | Discrimination and Classification | 138 |
9 | Variance Estimation and Goodness of Fit | 157 |
10 | Bandwidth Selection | 174 |
11 | Adaptive Parameter Choice | 192 |
12 | Computational Methods | 206 |
13 | Optimizing Local Regression | 220 |
A | Installing LOCFIT in R, S and S-Plus | 235 |
B | Additional Features: LOCFIT in S | 239 |
C | C-LOCFIT | 246 |
D | Plots from C-LOCFIT | 252 |
References | 257 | |
Index | 279 |
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