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Annotation of researchv10dc/vol2/index/chap2.terms, revision 1.1

1.1     ! root        1: smoothing splines
        !             2: running mean
        !             3: target point
        !             4: interior knots
        !             5: smoothing parameter
        !             6: running-lines smooth
        !             7: equivalent kernels
        !             8: equivalent kernel
        !             9: basis functions
        !            10: running-lines smoother
        !            11: least-squares line
        !            12: kernel smoothers
        !            13: kernel smoother
        !            14: cubic smoothing spline
        !            15: target value
        !            16: symmetric nearest neighbourhood
        !            17: spaced data
        !            18: scatterplot smoother
        !            19: rigid form
        !            20: nearest neighbours
        !            21: nearest neighbourhood
        !            22: natural splines
        !            23: matrix
        !            24: locally-weighted running-lines
        !            25: kernel smooth
        !            26: data points
        !            27: weighted least-squares fit
        !            28: weight function
        !            29: unweighted running-lines smoother
        !            30: time series
        !            31: three interior knots
        !            32: third derivative
        !            33: symmetric nearest neighbours
        !            34: symmetric nearest neighbourhoods
        !            35: standard Gaussian density
        !            36: single predictor
        !            37: scatterplot smoothing
        !            38: scatterplot smoothers
        !            39: scatterplot smooth
        !            40: predictor space
        !            41: piecewise polynomials
        !            42: piecewise cubics
        !            43: piecewise cubic polynomials
        !            44: parametric fitting
        !            45: nearest neighbourhoods
        !            46: natural cubic splines
        !            47: natural cubic spline
        !            48: multiple regression
        !            49: multi-predictor smoothers
        !            50: moving average
        !            51: matrix containing
        !            52: interested reader
        !            53: fitted smooth
        !            54: fine grid
        !            55: evaluated-splines
        !            56: cubic-spline basis functions
        !            57: building block
        !            58: boundary knots
        !            59: bin smoother
        !            60: bibliographic notes
        !            61: Fig. shows
        !            62: Euclidean distance
        !            63: Smoothing
        !            64: What is a smoother?
        !            65: Scatterplot smoothing: definition
        !            66: Parametric Regression
        !            67: Bin smoothers
        !            68: Running-mean  and running-lines smoothers
        !            69: Kernel smoothers
        !            70: Computational issues
        !            71: Running medians and enhancements
        !            72: Equivalent kernels
        !            73: Regression splines
        !            74: Computational aspects
        !            75: Cubic smoothing splines
        !            76: Computational aspects
        !            77: Locally weighted running-line smoothers
        !            78: Smoothers for multiple predictors
        !            79: {\sl smoother}
        !            80: {\sl nonparametric} nature
        !            81: {\sl smooth}
        !            82: {\sl scatterplot smoothing}
        !            83: {\sl categorical}
        !            84: {\sl smoothing}
        !            85: {\sl local averaging}
        !            86: {\sl neighbourhoods} around
        !            87: {\sl brand}
        !            88: {\sl smoothing parameter}
        !            89: {\sl fundamental tradeoff between bias and variance}
        !            90: {\em robustified}
        !            91: {\sl infinitely smooth}
        !            92: {\sl close}
        !            93: {\sl symmetric nearest neighbourhood}
        !            94: {\sl running mean}
        !            95: {\sl nearest neighbourhood}
        !            96: {\sl moving average}
        !            97: {\sl smoother}
        !            98: {\sl running lines smoother}
        !            99: {\sl weighted} least-squares
        !           100: {\sl loess}
        !           101: {\sl kernel}
        !           102: {\sl metric} distance
        !           103: {\sl metric}
        !           104: {\sl rank} distance
        !           105: {\em Hanning}
        !           106: {\em twicing}
        !           107: {\em regression smoothers}
        !           108: {\em linear}
        !           109: {\em degrees of freedom}
        !           110: {\sl equivalent kernels}
        !           111: {\sl linear}
        !           112: {\em equivalent kernel}
        !           113: {\em loess} smooth
        !           114: {\sl equivalent degrees of freedom}
        !           115: {\sl piecewise}
        !           116: {\sl knots}
        !           117: {\sl cubic} splines
        !           118: {\sl number}
        !           119: {\sl when the knots are given}
        !           120: {\sl natural cubic spline}
        !           121: {\sl effective} dimension
        !           122: {\sl sorted} values
        !           123: {\sl natural-spline} basis
        !           124: {\sl local averaging}
        !           125: {\sl kernel}
        !           126: {\sl loess}
        !           127: {\sl tri-cube} weight
        !           128: {\sl span}
        !           129: {\sl loess}
        !           130: {\sl nearest neighbours}
        !           131: {\sl Nearest}
        !           132: {\sl thin-plate spline}
        !           133: {\sl tensor product}
        !           134: {\sl per~se}
        !           135: {\sl Updating formula for running-line smooth}
        !           136: {\sl Basis for natural splines}
        !           137: {\sl Derivation of smoothing splines
        !           138: {\sl Semi-parametric regression
        !           139: {\sl estimating} equations
        !           140: {\sl Efficient kernel smoothing

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