論文 ·日本語 ·未確認
A PCA-LIKE METHOD FOR MULTIVARIATE DATA WITH MISSING VALUES
- 刊行年
- 1992-01-01
- 収録
- 『The Japanese Journal of Educational Psychology』 40(3) pp. 257-265
- 出版
- Japanese Association of Educational Psychology
- 言語
- 英語
- OpenAlex
- W2325843749
- DOI
- 10.5926/jjep1953.40.3_257
- MAG
- 2325843749
- ISSN
- 0021-5015
- URL
- https://www.jstage.jst.go.jp/article/jjep1953/40/3/40_257/_pdf
要旨
This paper discusses the development of a PCA-like method being able to capture the structure of incomplete multivariate data without any statistical assumption such as a multivariate normal distribution or a random missing process. This method, purely descriptive, is derived from a lower rank approximation of a data matrix with missing values. Parameters are estimated by the Newton-Raphson method in order to minimize the least squares criterion with respect to observed values. Two examples of educational measurement are added to demonstrate practial use of the method.
主題
この書誌の出所
- openalex— W2325843749（2026-08-13取得）
引用
Tadashi Shibayama（1992-01-01） A PCA-LIKE METHOD FOR MULTIVARIATE DATA WITH MISSING VALUES 『The Japanese Journal of Educational Psychology』 40(3) pp. 257-265 Japanese Association of Educational Psychology