Annotation of researchv10dc/vol2/index/chap2.em, revision 1.1.1.1

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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