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Annotation of researchv10dc/vol2/index/schap2.terms, revision 1.1.1.1

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

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