NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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迴歸分析最佳部分子集選擇之研究

趙忠文, Zhao, Zhong-Wen Unknown Date (has links)
在迴歸分析中選擇「最佳」變數, 當模式中之變數太多時, 使用所有可能迴歸法(all possible regressions), 往往因子集個數太多在計算上可能相當不經濟。本文為結 合Hocking 和Leslie( 一九六七 )及Newton和Spurrell( 一九六七a)所提之兩個方法 , 使得所須計算迴歸方程式之個數減少。
迴歸
分析
最佳部分
子集選擇
最佳
變數
統計
STATISTICS

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