V10/vol2/index/xchap2.log

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) 2 Smoothing: Section 2.1: What is a smoother?.
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[200] [201]
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[202] [203] Section 2.2: Scatterplot smoothing: definition.
Section 2.3: Parametric Regression. [204] Section 2.4: Bin smoothers. [205]
Section 2.5: Running-mean and running-lines smoothers.
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[206] [207] Section 2.6: Kernel smoothers. [208]
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[209] Section 2.6.1: Computational issues.
Section 2.7: Running medians and enhancements. [210]
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Section 2.8: Equivalent kernels. [211] [212] Section 2.9: Regression splines.
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[213] [214] Section 2.9.1: Computational aspects.
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[216] Section 2.10: Cubic smoothing splines. [217]
Section 2.10.1: Computational aspects. [218] [219]
Section 2.11: Locally weighted running-line smoothers. [220]
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[221] Section 2.12: Smoothers for multiple predictors. [222]
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[223] [224] Section 2.13: Discussion and bibliography. [225]
Section 2.14: Further results and exercises 2. [226] [227] [228] [229]
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