✦ LIBER ✦

Robust principal component analysis by projection pursuit

✍ Scribed by Yu-Long Xie; Ji-Hong Wang; Yi-Zeng Liang; Li-Xian Sun; Xin-Hua Song; Ru-Qin Yu

Publisher: John Wiley and Sons
Year: 1993
Tongue: English
Weight: 764 KB
Volume: 7
Category: Article
ISSN: 0886-9383
DOI: 10.1002/cem.1180070606

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

APPLICATION OF PROJECTION-PURSUIT PRINCI

APPLICATION OF PROJECTION-PURSUIT PRINCIPAL COMPONENT ANALYSIS METHOD TO CLIMATE STUDIES

✍ CHAN, JOHNNY C. L.; SHI, JIU-EN 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 194 KB 👁 2 views

Projection-pursuit (PP) principal component analysis (PCA) is a new statistical method that can deal with high-dimensional problems. In this paper, we show how this method can be applied to analyse regional monthly sea surface temperature and rainfall. Comparisons are made with results derived from

A robust principal component analysis

✍ F.H. Ruymgaart 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 539 KB

Stability of robust and non-robust princ

Stability of robust and non-robust principal components analysis

✍ Ramses Abul Naga; Gérard Antille 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 377 KB

Robust principal component analysis and

Robust principal component analysis and outlier detection with ecological data

✍ Donald A. Jackson; Yong Chen 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 102 KB

## Abstract Ecological studies frequently involve large numbers of variables and observations, and these are often subject to various errors. If some data are not representative of the study population, they tend to bias the interpretation and conclusion of an ecological study. Because of the multi

NMR spectral quantitation by principal c

NMR spectral quantitation by principal component analysis

✍ R. Stoyanova; T. R. Brown 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 150 KB

## Abstract The use of principal component analysis (PCA) for simultaneous spectral quantitation of a single resonant peak across a series of spectra has gained popularity among the NMR community. The approach is fast, requires no assumptions regarding the peak lineshape and provides quantitation e

Optimization of correlated multiple qual

Optimization of correlated multiple quality characteristics robust design using principal component analysis

📂 Article 📅 2004 🏛 Society of Manufacturing Engineers 🌐 English ⚖ 123 KB

This paper reviews Genichi Taguchi's contributions to the field of quality and manufacturing engineering from both a statistical and an engineering viewpoint. His major contributions are first listed and then described in a systematic and analytical manner. The concepts underlying Taguchi's univaria