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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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