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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/4592


    Title: 敏感度分析和穩健性在主成分分析的應用
    Other Titles: Sensitivity analysis and robustness in principal component analysis
    Authors: 林正茹
    Lin, Cheng-Ju
    Contributors: 魏文翔
    Wei, Wen-Hsiang
    東海大學統計學系
    Keywords: 影響函數;二階影響函數;主成分分析;影響點;穩健性;核函數
    influence function;second order influence function;principal component analysis;outlier;robustness;kernel function
    Date: 2003
    Issue Date: 2011-05-19T06:23:54Z (UTC)
    Abstract: 把Sibson的Lemme 2.1推廣成二階的擾動.因此我們可以得到特徵值和特徵向量的二階影響函數,進而我們可以用來檢測那些互相遮蓋的影響點.此外,在穩健性的討論中,我們給予那些有影響的點較小的權重.最後我們利用一個實例來說明以上介紹的方法.
    Lemma 2.1 of Sibson (1979) is generalized to the second order perturbation of a symmetric matrix. Thus, the second order theoretical influence functions for the eigenvalues and eigenvectors can be developed to detect the masked influential observations in principal component analysis. In addition, a robust principal component can thus be developed by downweighting the identified influential observations. Numerical example illustrates the techniques.
    Appears in Collections:[統計學系所] 碩博士論文

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