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Approximate Models of Probability Distributions for Principal Components of Sample Mahalanobis Distances-About Each Element and Partial Sum of Sample Mahalanobis Distances-

標本マハラノビス距離の主成分要素の確率分布の近似モデル-個々の主成分要素とその部分和について-
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Volume: 114  Issue: 306(IBISML2014 35-84)  Page: 17-24  Publication year: Nov. 10, 2014 
JST Material Number: S0532B  ISSN: 0913-5685  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Artificial intelligence 
Reference (16):
  • 井出剛, “異常検知・リスク分析のための機械学習その2 外れ値検出の基礎,” IBISML チュートリアル第1部, pp.19-26, 電子情報通信学会情報論的学習理論と機械学習研究会(編), Jan. 2012.
  • 竹村彰道, “6.3 平均ベクトルについての同時信頼域,” 多変量推測統計の基礎, pp.91-92, 共立出版, 東京, 1991.
  • 蓑谷千鳳彦, “13.9 多変量正規分布のパラメータの信頼域,” 正規分布ハンドブック, pp.485-497, 朝倉書店, 2012.
  • 小林靖之, “MT 法の項目診断における主成分分解の適用,” 日本品質管理学会第 98 回研究発表会研究発表要旨集, pp.221-224, 2012.
  • A. Takemura, “A Principal Decomposition of Hotelling's T2 Statistic,” Multivariate Analysis-VI, P.R. Krishnaiah, ed., pp.583-597, Elsevier Science Publishers B.V., 1985.
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