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1.1 ! root 1: {\sl smoother} ! 2: {\sl nonparametric} nature ! 3: {\sl smooth} ! 4: RIGHT ! 5: {\sl scatterplot smoothing} ! 6: {\sl categorical} ! 7: {\sl smoothing} ! 8: {\sl local averaging} ! 9: {\sl neighbourhoods} around ! 10: {\sl brand} ! 11: {\sl smoothing parameter} ! 12: {\sl fundamental tradeoff between bias and variance} ! 13: {\em robustified} ! 14: {\sl infinitely smooth} ! 15: {\sl close} ! 16: {\sl symmetric nearest neighbourhood} ! 17: {\sl running mean} ! 18: {\sl nearest neighbourhood} ! 19: {\sl moving average} ! 20: {\sl smoother} ! 21: RIGHT ! 22: {\sl running lines smoother} ! 23: {\sl weighted} least-squares ! 24: {\sl loess} ! 25: {\sl kernel} ! 26: {\sl metric} distance ! 27: {\sl metric} ! 28: {\sl rank} distance ! 29: {\em Hanning} ! 30: {\em twicing} ! 31: {\em regression smoothers} ! 32: {\em linear} ! 33: {\em degrees of freedom} ! 34: {\sl equivalent kernels} ! 35: {\sl linear} ! 36: {\em equivalent kernel} ! 37: {\em loess} smooth ! 38: {\sl equivalent degrees of freedom} ! 39: {\sl piecewise} ! 40: {\sl knots} ! 41: {\sl cubic} splines ! 42: {\sl number} ! 43: {\sl when the knots are given} ! 44: {\sl natural cubic spline} ! 45: {\sl effective} dimension ! 46: {\sl sorted} values ! 47: {\sl natural-spline} basis ! 48: {\sl local averaging} ! 49: {\sl kernel} ! 50: {\sl loess} ! 51: {\sl tri-cube} weight ! 52: {\sl span} ! 53: {\sl loess} ! 54: {\sl nearest neighbours} ! 55: {\sl Nearest} ! 56: {\sl thin-plate spline} ! 57: {\sl tensor product} ! 58: {\sl per~se} ! 59: {\sl Updating formula for running-line smooth} ! 60: {\sl Basis for natural splines} ! 61: {\sl Derivation of smoothing splines ^{Reinsch (1967)}.} ! 62: {\sl Semi-parametric regression ^^{Green, P.J.}^^{Jennison, ! 63: {\sl estimating} equations ! 64: {\sl Efficient kernel smoothing ^{Silverman (1982)},
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