✦ LIBER ✦

Functional Relationships in the Interpretation of Principal Components Analyses

✍ Scribed by J. M. Norris

Book ID: 125044725
Publisher: John Wiley and Sons
Year: 1971
Tongue: English
Weight: 477 KB
Volume: 3
Category: Article
ISSN: 0004-0894
DOI: 10.2307/20000584

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

INTERPRETATION OF THE RESULTS OF COMMON

INTERPRETATION OF THE RESULTS OF COMMON PRINCIPAL COMPONENTS ANALYSES

✍ David Houle; Jason Mezey; Paul Galpern 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 482 KB

Interpreting principal component analyse

Interpreting principal component analyses of spatial population genetic variation

✍ Novembre, John; Stephens, Matthew 📂 Article 📅 2008 🏛 Nature Publishing Group 🌐 English ⚖ 315 KB

Functional principal component analyses

Functional principal component analyses of biomedical images as outcome measures

✍ Emma O'Connor; Nick Fieller; Andrew Holmes; John C. Waterton; Edward Ainscow 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 1014 KB

On the interpretation of principal compo

On the interpretation of principal components analysis in ecological contexts

✍ Nichols, Scott 📂 Article 📅 1997 🏛 Springer-Verlag 🌐 English ⚖ 602 KB

Selecting the Number of Principal Compon

Selecting the Number of Principal Components in Functional Data

✍ Li, Yehua; Wang, Naisyin; Carroll, Raymond J. 📂 Article 📅 2013 🏛 American Statistical Association 🌐 English ⚖ 256 KB

The effect of domain shape on principal

The effect of domain shape on principal components analyses: A reply

✍ David R. Legates 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 916 KB

## Abstract In a previous paper, I reevaluated the domain shape dependence arguments of Buell and concluded that ‘unrotated’ principal components do represent, to a very large degree, the underlying structure represented in the dispersion matrix. Richman's comments are largely based as a defence of