SECOND ORDER LOCAL INFLUENCE IN LINEAR DISCRIMINANT ANALYSIS

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概要

• 論文の詳細を見る

• We adapt the local influence method to linear discriminant analysis for the purpose of investigating the influence of observations. A simultaneous perturbation on all observations coming from two populations is considered. We study the curvatures and the associated direction vectors of the surface formed by the perturbed maximum likelihood estimators of parameters of interest, in addition to the direction vector of the maximum slope. We show that the influence function method gives essentially the same information as the direction vector of the maximum slope. A numerical example illustrates that the local influence method gives valuable information about influential observations and outliers, even when the influence function method and the case deletion method are not adequate.

• 日本計算機統計学会の論文

著者

• Kim Myung

  Department Of Diagnostic Rediology Yonsei University College Of Medicine

• Kim Byung

  Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan, University School of Medici

• Kim B

  Department Of Industrial Management Korea Advanced Institute Of Science And Technology

• Kim M

  Department Of Applied Statistics Seowon University

• Kim Myung

  Department Of Clinicopathology Catholic University Of Korea

• Jung Kang-Mo

  Department of Computer Science and Statistics, Kunsan National University

• Jung Kang-mo

  Department Of Computer Science And Statistics Kunsan National University

• Kim Byung

  Department Of Applied Mathematics College Of Applied Science Kyung Hee University

• Kim Myung

  Department Of Agricultural Biotechnology And Research Institute For Agriculture And Life Sciences Co

• Kim Byung

  Department Of Aerospace Engineering School Of Engineering Nagoya University

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