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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/61303

    Title: 無母數迴歸使用B-spline時選取knot 的一種方式
    Other Titles: An adaptive knot selection method for regression splines via penalized minimum contrast estimation
    Authors: 黃子銘
    Contributors: 國立政治大學統計學系
    Keywords: 適應性估計, 迴歸樣條, 節點選取
    adaptive estimation;regression splines;knot selection
    Date: 2013
    Issue Date: 2013-10-11 14:04:57 (UTC+8)
    Abstract: 本研究中提出一種選取 spline 節點的方式. 使用此方法選
    取 spline 節點可得到迴歸函數的適應性估計, 並且此方法
    A knot selection method for regression splines is
    proposed. This method yields a least square spline
    estimator that adapts to the smoothness of the
    regression function, and non-equally-spaced knots are
    Relation: 執行期間:10108-10207
    Data Type: report
    Appears in Collections:[統計學系] 國科會研究計畫

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