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