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