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In article <BvIqDK.9EK@csn.org> sullivan@teal.csn.org (Steve Sullivan) writes:
>
>I'm interested in learning about principle components
>analysis, but none of the profs I've talked to have
>any references.
>
>Can anyone recommend some good introductory books or
>articles?
>
>Many thanks in advance -
>
>Steve Sullivan
>sullivan@csn.org

Cattell, r.b. (965) Factor analysis. An introduction to
Essentials. I: the purpose and underlying models. Biometrics 21,
pp. 190-210
II: the role of factor analysis in research, Biometrics, 21,
pp405-435.

Childs d 1970, The essentials of factor analysis. London, Holt,
Rinehart, and Wisnton.

Cooley W.W> and Lohnes (1971) Multivariate data analysis, NY
J-Wiley.

Davis, J./c. 1973) Statistics and data analyiss i geology,
Academic press

Fruchter b. (1954) /Introduction to factor analysis D. van
Nostrand Co.

Seyhan E. 1985 Introduction to multivariate statistical analysis
Free university, Institute of Earth sciences Netherlands


Oscar

> Steve Sullivan <sullivan@csn.org> writes:
> I'm interested in learning about principle components
> analysis, but none of the profs I've talked to have
> any references.
> 
> Can anyone recommend some good introductory books or
> articles?

I've become interested in using PCA to analyze a sequence of high
dimensional vectors (speech frames).  My SYSTAT manual and a look on
mlvl turned up the following references:


5. MCDONALD RP.
     COMMON PRINCIPAL COMPONENTS AND RELATED MULTIVARIATE METHODS - FLURY,B.
     Pub type:  Book Review.
     JOURNAL OF CLASSIFICATION, 1990, V7 N2:310-312.

6. Flury, Bernhard, 1951-
     Common principal components and related multivariate models / Bernhard
   Flury.  New York : Wiley, c1988.
     Series title:  Wiley series in probability and mathematical statistics.

8. Jackson, J. Edward.
     A user's guide to principal components / J. Edward Jackson.  New York :
   Wiley, c1991.
     Series title:  Wiley series in probability and mathematical statistics.
   Applied probability and statistics.

2. Harman, Harry Horace, 1913-1976.
     Modern factor analysis.  [Chicago] University of Chicago Press [1960].

1. Mulaik, Stanley A., 1935-
     The foundations of factor analysis [by] Stanley A. Mulaik.  New York,
   McGraw-Hill [1971, c1972].
     Series title:  McGraw-Hill series in psychology.

1. Gnanadesikan, Ram, 1932-
     Methods for statistical data analysis of multivariate observations / R.
   Gnanadesikan.  New York : Wiley, c1977.
     Series title:  Wiley series in probability and mathematical statistics.
     Series title:  A Wiley publication in applied statistics.

40. Mardia, K. V.
      Multivariate analysis / K. V. Mardia, J. T. Kent, J. M. Bibby.  London ;
    New York : Academic Press, 1979.
      Series title:  Probability and mathematical statistics.

In article <BvIqDK.9EK@csn.org> sullivan@teal.csn.org (Steve Sullivan) writes:

>I'm interested in learning about principle components
>analysis, but none of the profs I've talked to have
>any references.

I don't think you'll find anything on "principle components analysis," but
there should be a lot on "principal component analysis." Please don't
consider this a flame in any way, shape, or form -- I just want to help get
you on the right track.

Edward (Ted) Jackson, of Eastman Kodak, wrote a three-part series on PCA for
the _Journal_of_Quality_Technology_ which appeared in 1981. It's a great
introduction. I think he also wrote a book on the subject.

There are a variety of books on a related topic, Factor Analysis. Be advised
that this is only a related topic; PCA is only treated as a special case, if
at all. One of the best is the Third Edition of _Modern_Factor_Analysis_ by
Harry Horace Harmon. BTW, Part 3 of Ted Jackson's series in JQT covers
Factor Analysis.

Finally, there are books on multivariate analysis that discuss PCA.
Gnanadesikan's _Methods_for_Statistical_Data_Analysis_of_Multivariate_
_Observations_ provided me with a starting point for my thesis work on
non-linear PCA about 8 or 9 years ago.

Good luck!