企業格付判別のためのSVM手法の提案および逐次ロジットモデルとの比較による有効性検証

Journal name: Transactions of the Operations Research Society of Japan = 日本オペレーションズ・リサーチ学会和文論文誌 57:2014.12

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Material Type: 記事
Title: 企業格付判別のためのSVM手法の提案および逐次ロジットモデルとの比較による有効性検証
Author/Editor: 田中克弘
中川秀敏
Author Heading: 田中克弘
中川秀敏
Alternative Title: A METHOD OF CORPORATE CREDIT RATING CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE AND ITS VALIDATION IN COMPARISON OF SEQUENTIAL LOGIT MODEL
Periodical title: Transactions of the Operations Research Society of Japan = 日本オペレーションズ・リサーチ学会和文論文誌
No. or year of volume/issue: 57:2014.12
Volume: 57
Pages: 92-111
Publication date of volume/issue (W3CDTF): 2014-12
ISSN (Periodical Title): 1349-8940
ISSN-L (Periodical Title): 1349-8940
Publication (Periodical Title): [東京] : 日本オペレーションズ・リサーチ学会
Place of Publication (Country Code): JP
Text Language Code: jpn
Subject Heading: リスク管理
信用リスク
多群判別分析
逐次ロジットモデル
サポートベクターマシン
NDLC: ZM31
Target Audience: 一般
Holding library: 国立国会図書館
Call No.: Z74-E331
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 026031619
http://id.ndl.go.jp/bib/026031619
Bibliographic Record Category (NDL): 632