@article{oai:chuo-u.repo.nii.ac.jp:00001214,
 author = {藤越, 康祝 and 櫻井, 哲朗 and 神田, 真吾 and 杉山, 髙一},
 journal = {中央大学理工学研究所論文集},
 month = {Mar},
 note = {application/pdf, In this paper, we consider the problem for selection of variables based on selection of redundancy models in canonical correlation analysis. Under normality, DIC and CDIC were proposed by Fujikoshi [2] and Fujikoshi and Kurata [3]. Our purpose is to extend such approaches to nonnormality and to propose bootstrap information criterion for selection of redundancy models. By some simulations it is shown that our bootstrap information criterion is useful in nonnormal situations., 【査読有】},
 pages = {31--49},
 title = {正準相関分析における変数選択に対するブートストラップ情報量規準},
 volume = {14},
 year = {2009},
 yomi = {フジコシ, ヤスノリ and サクライ, テツロウ and カンダ, シンゴ and スギヤマ, タカカズ}
}