V10/vol2/index/xchap2.idx

smoothing<tab>200
what is a smoother?<tab>200
 smoother<tab>200
 nonparametric nature<tab>200
rigid form<tab>200
parametric regression<tab>200
running mean<tab>200
moving average<tab>200
smoothing<tab>200
single predictor<tab>200
scatterplot smoothing<tab>200
scatterplot smoother<tab>200
scatterplot smoother<tab>200
scatterplot smooth<tab>200
building block<tab>200
scatterplot smoother<tab>200
smoothing<tab>200
smoothing<tab>200
fitted smooth<tab>200
 smooth<tab>200
 categorical<tab>200
scatterplot smooth<tab>202
 smoothing<tab>202
smoothing<tab>202
 local averaging<tab>202
target value<tab>202
 neighbourhoods around<tab>202
target value<tab>202
scatterplot smoothing<tab>202
 smoothing parameter<tab>202
 fundamental tradeoff between bias and variance<tab>202
smoothing parameter<tab>202
smoothing parameter<tab>202
smoothing parameter<tab>202
three interior knots<tab>202
smoothing parameter<tab>202
 brand<tab>202
fitted smooth<tab>202
 robustified<tab>204
bibliographic notes<tab>204
scatterplot smoothing: definition<tab>204
scatterplot smoothing<tab>204
scatterplot smooth<tab>204
parametric regression<tab>204
rigid form<tab>204
 infinitely smooth<tab>205
scatterplot smoother<tab>205
parametric fitting<tab>205
scatterplot smoothing<tab>205
regression splines<tab>205
parametric fitting<tab>205
bin smoother<tab>205
bin smoother<tab>205
data points<tab>205
running-mean and running-lines smoothers<tab>205
target value<tab>205
 close<tab>206
 symmetric nearest neighbourhood<tab>206
 running mean<tab>206
symmetric nearest neighbourhood<tab>206
symmetric nearest neighbours<tab>206
target point<tab>206
 nearest neighbourhood<tab>206
running mean<tab>206
running mean<tab>206
least-squares line<tab>206
symmetric nearest neighbourhood<tab>206
target point<tab>206
target point<tab>206
running mean<tab>206
running mean<tab>206
 moving average<tab>206
data points<tab>206
running-lines smooth<tab>207
running-lines smooth<tab>207
running-lines smooth<tab>207
least-squares line<tab>207
running-lines smoother<tab>208
building block<tab>208
smoothing<tab>208
running-lines smooth<tab>208
weighted least-squares<tab>208
running-lines smoother<tab>208
locally-weighted running-lines<tab>208
loess<tab>208
unweighted running-lines smoother<tab>208
running-lines smoother<tab>208
running-lines smoother<tab>208
unweighted running-lines smoother<tab>208
running-lines smoother<tab>208
kernel smoother<tab>208
kernel smoother<tab>208
kernel<tab>208
target value<tab>208
kernel smoother<tab>208
target point<tab>208
kernel smoother<tab>208
standard gaussian density<tab>209
 metric distance<tab>210
metric<tab>210
rank distance<tab>210
kernel smoother<tab>210
kernel smooth<tab>210
fitted smooth<tab>210
computational issues<tab>210
kernel smooth<tab>210
weight function<tab>210
kernel smooth<tab>210
spaced data<tab>210
fine grid<tab>210
running medians and enhancements<tab>210
smoothing<tab>210
running mean<tab>210
running mean<tab>210
 hanning<tab>210
twicing<tab>210
spaced data<tab>210
time series<tab>210
smoothing<tab>210
interested reader<tab>210
bibliographic notes<tab>210
spaced data<tab>210
regression smoothers<tab>210
 linear<tab>210
 degrees of freedom<tab>210
time series<tab>211
equivalent kernel<tab>211
 equivalent kernels<tab>211
 linear<tab>211
smoothing parameter<tab>211
 equivalent kernel<tab>211
running mean<tab>211
equivalent kernel<tab>211
target point<tab>211
equivalent kernel<tab>211
running mean<tab>213
 loess smooth<tab>213
smoothing<tab>213
smoothing parameter<tab>213
equivalent kernel<tab>213
 equivalent degrees of freedom<tab>213
smoothing<tab>213
equivalent kernel<tab>213
regression splines<tab>213
regression splines<tab>213
piecewise<tab>213
 knots<tab>213
piecewise polynomials<tab>213
bin smoother<tab>213
piecewise cubic polynomials<tab>213
interior knots<tab>213
multiple regression<tab>214
basis functions<tab>214
piecewise cubic polynomials<tab>214
natural splines<tab>215
piecewise polynomials<tab>215
cubic splines<tab>215
boundary knots<tab>215
interior knots<tab>215
boundary knots<tab>215
natural splines<tab>215
regression splines<tab>215
interior knots<tab>215
computational aspects<tab>215
 number<tab>215
interior knots<tab>215
three interior knots<tab>215
basis functions<tab>215
interior knots<tab>215
boundary knots<tab>215
basis functions<tab>215
third derivative<tab>216
basis functions<tab>216
piecewise cubics<tab>216
matrix<tab>216
basis functions<tab>216
matrix<tab>216
piecewise cubics<tab>216
regression splines<tab>216
when the knots are given<tab>216
regression splines<tab>216
interior knots<tab>216
basis functions<tab>216
equivalent kernel<tab>217
three interior knots<tab>217
regression splines<tab>217
smoothing parameter<tab>217
cubic smoothing spline<tab>217
scatterplot smoother<tab>218
 natural cubic spline<tab>218
interior knots<tab>218
 effective dimension<tab>218
smoothing<tab>218
running-lines smooth<tab>218
running-lines smooth<tab>218
least-squares line<tab>218
computational aspects<tab>218
natural cubic spline<tab>218
interior knots<tab>218
basis functions<tab>218
natural splines<tab>218
matrix<tab>218
matrix<tab>218
 sorted values<tab>219
matrix<tab>219
 natural-spline basis<tab>219
matrix<tab>219
cubic smoothing spline<tab>219
cubic smoothing spline<tab>220
local averaging<tab>220
equivalent kernel<tab>220
target point<tab>220
equivalent kernel<tab>220
equivalent kernel<tab>220
smoothing splines<tab>220
smoothing<tab>220
kernel<tab>220
smoothing parameter<tab>220
weight function<tab>220
target point<tab>220
smoothing splines<tab>220
locally weighted running-line smoothers<tab>220
loess<tab>220
nearest neighbours<tab>220
nearest neighbours<tab>220
 tri-cube weight<tab>220
target point<tab>221
target point<tab>221
weighted least-squares fit<tab>221
target point<tab>221
smoothing<tab>221
 span<tab>221
data points<tab>221
smoothing parameter<tab>221
nearest neighbourhood<tab>221
symmetric nearest neighbourhood<tab>221
target point<tab>221
nearest neighbourhood<tab>221
symmetric nearest neighbourhood<tab>221
running-lines smoother<tab>221
nearest neighbourhood<tab>221
data points<tab>221
target point<tab>221
symmetric nearest neighbourhood<tab>221
nearest neighbourhood<tab>221
loess<tab>221
kernel smoother<tab>222
smoothers for multiple predictors<tab>222
single predictor<tab>222
scatterplot smoother<tab>222
multiple regression<tab>222
running mean<tab>222
kernel smoother<tab>222
 nearest neighbours<tab>222
 nearest<tab>222
euclidean distance<tab>222
symmetric nearest neighbours<tab>222
running mean<tab>222
target point<tab>222
euclidean distance<tab>223
matrix<tab>223
target point<tab>223
smoothing<tab>223
running mean<tab>223
predictor space<tab>223
weight function<tab>223
weight function<tab>223
kernel smoother<tab>223
matrix<tab>223
predictor space<tab>223
smoothing<tab>223
thin-plate spline<tab>223
interested reader<tab>224
bibliographic notes<tab>224
 tensor product<tab>224
regression splines<tab>224
basis functions<tab>224
basis functions<tab>224
regression splines<tab>224
smoothing<tab>224
basis functions<tab>224
multi-predictor smoothers<tab>224
parametric regression<tab>225
smoothing<tab>225
multi-predictor smoothers<tab>225
scatterplot smoother<tab>225
running-lines smoother<tab>225
smoothing<tab>225
locally-weighted running-lines<tab>225
kernel smoother<tab>225
 per\penalty \@M \ se<tab>225
building block<tab>225
smoothing parameter<tab>225
locally-weighted running-lines<tab>225
smoothing<tab>225
kernel smoother<tab>225
smoothing splines<tab>226
smoothing splines<tab>226
natural splines<tab>227
matrix containing<tab>227
basis functions<tab>227
interior knots<tab>227
matrix containing<tab>227
basis functions<tab>227
matrix<tab>227
interior knots<tab>227
boundary knots<tab>227
 derivation of smoothing splines<tab>227
third derivative<tab>227
least-squares line<tab>227
cubic smoothing spline<tab>227
smoothing<tab>228
 semi-parametric regression<tab>228
matrix<tab>228
 estimating equations<tab>228
smoothing<tab>228
 efficient kernel smoothing<tab>228
kernel smooth<tab>228
fine grid<tab>228
matrix<tab>228
smoothing<tab>228
smoothing splines<tab>228
equivalent kernel<tab>228