Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data-Reference-Cited by-同舟云学术

Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data

Published:2012-01-01 Issue:1 Volume:48 Page:
ISSN:0916-5746
Container-title:SUT Journal of Mathematics
language:
Short-container-title:SUT J. Math.

Author:

Shutoh Nobumichi¹,Hyodo Masashi²,Pavlenko Tatjana³,Seo Takashi⁴

Affiliation:

1. Department of Health Sciences, Oita University of Nursing and Health Sciences 2944-9, Megusuno, Oita-shi, Oita 870-1201, Japan

2. Graduate School of Economics, The University of Tokyo Research Fellow of the Japan Society for the Promotion of Science 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan

3. Department of Mathematics, KTH Royal Institute of Technology SE-100 44 Stockholm, Sweden

4. Department of Mathematical Information Science, Tokyo University of Science 1-3, Kagurazaka, Shinjuku-ku, Tokyo 162-8601, Japan

Publisher

SUT Journal of Mathematics - Tokyo University of Science

Subject

General Mathematics

Reference13 articles.

1. [1] T. W. Anderson, An asymptotic expansion of the distribution of the Studentized classification statistic W, Ann. Statist. 1 (1973), 964–972.

2. [2] A. Batsidis, K. Zografos and S. Loukas, Errors in discrimination with monotone missing data from multivariate normal populations, Comput. Statist. Data Anal. 50 (2006), 2600–2634.

3. [3] W. Y. Chang and D. St. P. Richards, Finite-sample inference with monotone incomplete multivariate normal data, II., J. Multivariate Anal. 101 (2010), 603–620.

4. [4] T. Kanda and Y. Fujikoshi, Some basic properties of the MLE’s for a multivariate normal distribution with monotone missing data, Amer. J. Math. Management. Sci. 18 (1998), 161–190.

5. [5] T. Kanda and Y. Fujikoshi, Linear discriminant function and probabilities of misclassification with monotone missing data, Proc. 8th China-Japan Statist. Sympos., 142–143, 2004.

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