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ID 11429
JaLCDOI
Sort Key
4
タイトル(別表記)
Variable selection besed on global score estimation and its numerical investigation
フルテキストURL
著者
森 裕一 岡山理科大学総合情報学部
笛田 薫 岡山大学 Kaken ID publons researchmap
飯塚 誠也 岡山大学 Kaken ID researchmap
抄録
A variable selection method using global score estimation is proposed, which is applicable as a selection criterion in any multivariate method without external variables such as principal component analysis. This method selects a reasonable subset of variables so that the global scores, e.g. principal component scores, which are computed based on the selected variables, approximate the original global scores as well as possible in the context of the least squares. Three computational steps are proposed to estimate the scores according to how to satisfy the restriction that the estimated global scores are mutually uncorrelated. Three different examples are analyzed to demonstrate the performance and usefulness of the proposed method numerically, in which three steps are evaluated and the results obtained using four cost-saving selection procedures are compared.
キーワード
principal components
least square
orthogonalization
cost-saving selection
出版物タイトル
岡山大学環境理工学部研究報告
発行日
2007-03-15
12巻
1号
出版者
岡山大学環境理工学部
出版者(別表記)
Faculty of Environmental Science and Technology, Okayama University
開始ページ
29
終了ページ
40
ISSN
1341-9099
NCID
AN10529213
資料タイプ
紀要論文
OAI-PMH Set
岡山大学
言語
Japanese
論文のバージョン
publisher
NAID
Eprints Journal Name
fest