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1.1 root 1: basis functions, 214-216,218,224,227
2: bibliographic notes, 204,210,224
3: bin smoother, 205,213
4: boundary knots, 215,227
5: brand, 202
6: building block, 200,208,225
7: categorical, 200
8: close, 206
9: computational aspects, 215,218
10: computational issues, 210
11: cubic smoothing spline, 217,219-220,227
12: cubic splines, 215
13: data points, 205-206,221
14: degrees of freedom, 210
15: derivation of smoothing splines, 227
16: effective dimension, 218
17: efficient kernel smoothing, 228
18: equivalent degrees of freedom, 213
19: equivalent kernel, 211,213,217,220,228
20: equivalent kernels, 211
21: estimating equations, 228
22: euclidean distance, 222-223
23: fine grid, 210,228
24: fitted smooth, 200,202,210
25: fundamental tradeoff between bias and variance, 202
26: hanning, 210
27: infinitely smooth, 205
28: interested reader, 210,224
29: interior knots, 213,215-216,218,227
30: kernel smooth, 210,228
31: kernel smoother, 208,210,222-223,225
32: kernel, 208,220
33: knots, 213
34: least-squares line, 206-207,218,227
35: linear, 210-211
36: local averaging, 202,220
37: locally weighted running-line smoothers, 220
38: locally-weighted running-lines, 208,225
39: loess smooth, 213
40: loess, 208,220-221
41: matrix containing, 227
42: matrix, 216,218-219,223,227-228
43: metric distance, 210
44: metric, 210
45: moving average, 200,206
46: multi-predictor smoothers, 224-225
47: multiple regression, 214,222
48: natural cubic spline, 218
49: natural splines, 215,218,227
50: natural-spline basis, 219
51: nearest neighbourhood, 206,221
52: nearest neighbours, 220,222
53: nearest, 222
54: neighbourhoods around, 202
55: nonparametric nature, 200
56: number, 215
57: parametric fitting, 205
58: parametric regression, 200,204,225
59: per\penalty \@M \ se, 225
60: piecewise cubic polynomials, 213-214
61: piecewise cubics, 216
62: piecewise polynomials, 213,215
63: piecewise, 213
64: predictor space, 223
65: rank distance, 210
66: regression smoothers, 210
67: regression splines, 205,213,215-217,224
68: rigid form, 200,204
69: robustified, 204
70: running mean, 200,206,210-211,213,222-223
71: running medians and enhancements, 210
72: running-lines smooth, 207-208,218
73: running-lines smoother, 208,221,225
74: running-mean and running-lines smoothers, 205
75: scatterplot smooth, 200,202,204
76: scatterplot smoother, 200,205,218,222,225
77: scatterplot smoothing, definition,200,202,204-205 204
78: semi-parametric regression, 228
79: single predictor, 200,222
80: smooth, 200
81: smoother, 200
82: smoothers for multiple predictors, 222
83: smoothing parameter, 202,211,213,217,220-221,225
84: smoothing splines, 220,226,228
85: smoothing, 200,202,208,210,213,218,220-221,223-225,228
86: sorted values, 219
87: spaced data, 210
88: span, 221
89: standard gaussian density, 209
90: symmetric nearest neighbourhood, 206,221
91: symmetric nearest neighbours, 206,222
92: target point, 206,208,211,220-223
93: target value, 202,205,208
94: tensor product, 224
95: thin-plate spline, 223
96: third derivative, 216,227
97: three interior knots, 202,215,217
98: time series, 210-211
99: tri-cube weight, 220
100: twicing, 210
101: unweighted running-lines smoother, 208
102: weight function, 210,220,223
103: weighted least-squares fit, 221
104: weighted least-squares, 208
105: what is a smoother?, 200
106: when the knots are given, 216
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