𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A simultaneous non-symmetrical principal component analysis with a group structure

✍ Scribed by Vincenzo Esposito; Simona Balbi

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
101 KB
Volume
15
Category
Article
ISSN
1524-1904

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Principal component analysis for grouped
Principal component analysis for grouped dataβ€”a case study
✍ Lukman Thalib; Roger L. Kitching; M. Ishaq Bhatti πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 102 KB πŸ‘ 2 views

Two of the most popular descriptive multivariate methods currently employed are the principal component analysis and canonical variate analysis methods. Canonical variate analysis is the most appropriate technique to use whenever the multivariate data are grouped and to discriminate group dierences

Phenotypic covariance structure in tamar
Phenotypic covariance structure in tamarins (genusSaguinus): a comparison of variation patterns using matrix correlation and common principal component analysis
✍ Ackermann, Rebecca Rogers; Cheverud, James M. πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 162 KB πŸ‘ 1 views

Constancy of variation/covariation structure among populations is frequently assumed in order to measure the differential selective forces which have caused population differentiation through evolutionary time. Following Steppan ([1997] Evolution 51:571-594), this assumption is examined among closel

EDXRF studies of porcelains (800–1600 A.
EDXRF studies of porcelains (800–1600 A.D.) from Fujian, China with chemical proxies and principal component analysis
✍ P. L. Leung; Z. C. Peng; M. J. Stokes; Mike T. W. Li πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 106 KB

## Dehua white porcelain was an important product for exportation in China since the Song Dynasty (1000 A.D.). The energy-dispersive x-ray fluorescence technique was applied to the study of 41 pieces of Dehua porcelain from Fujian Province, China. The chemical proxies and principal component analys