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    题名: 充分維度縮減於整體性檢定之應用
    Application of sufficient dimension reduction to global test
    作者: 徐碩亨
    Hsu, Shuo Heng
    贡献者: 薛慧敏
    Hsueh, Hui Min
    徐碩亨
    Hsu, Shuo Heng
    关键词: 維度縮減
    切片平均變異數估計法
    基因組分析
    排列顯著值
    日期: 2012
    上传时间: 2013-07-11 16:37:19 (UTC+8)
    摘要: 隨著科技不斷的進步，人們需要處理的資料量也不斷地增加。在巨量資料的分析上，維度縮減將有助於增進效率。本篇論文主要介紹切片平均變異數估計維度縮減方法，並將此法應用於整體相關性檢定問題上。我們考慮切片平均變異數估計法中的邊際維度檢定，並將利用排列重抽法建構檢定統計量的虛無分配，藉此計算排列顯著值來獲得統計推論。此整體相關性檢定可用在基因組分析問題上，以驗證特定基因組與外顯特徵變數間的相關程度。最後我們將模擬本檢定的型一誤差率和檢定力，並與前人提出的方法做比較。
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    描述: 碩士
    國立政治大學
    統計研究所
    100354029
    101
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G1003540292
    数据类型: thesis
    显示于类别:[統計學系] 學位論文

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