My original posting requested information about PCA/factor analysis courses or
good text books/references that could be used to 'self-teach'.
I stated that I would send a summary to interested individuals because I was
under the impression that PCA/factor analysis is not a 'proper' statistical
technique (this is my personal view and is not intended to start a debate!!) and
so thought that courses of this nature would not be of great interest to the
list. However, I have had numerous requests for the information and so the most
appropriate action seems to be to send a summary.....here it is:
Not much info on courses - try www.statapp.co.uk
Books/references:
'Principles of Multivariate Analysis' by W. J. Krzanowski
(Oxford Statisitcal Science Series)
HATCHER, L. (1994)
A Step-by-Step Approach to Using the SAS System for Factor Analysis and
Structural Equation Modelling.
Cary, NC: SAS Institute Inc.
Chatfield and Collins' Introduction to multivariate analysis
Principal Component Analysis - Jolliffe, I.T. New York: Springer, 1986
The Essentials of Factor Analysis - Child, D London: Holt, Reinhart and
Winston, 1970
Applied Multivariate Techniques by Subhash Sharma
http://www.gatsby.ucl.ac.uk/~roweis/
Multivariate Statistical Methods, a primer, Bryan FJ Manly, Chapman&Hall '86
1992 (with B.J.T. Morgan) Principal component analysis
and exploratory factor analysis. Statistical Methods in Medical
Research, 1, 69-85.
1990 Principal component analysis: a beginner's guide I.
Introduction and applications. Weather, 45, 375-382.
1993 Principal component analysis: a beginner's guide II
pitfalls and extensions. Weather, 48, 246-253.
Some general advice also given was that applied multivariate methods books are
generally a 'better' place to start than pure mathematical statistics books.
Hope this is of help to someone!
JOY
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