A book that was very useful to me to become familiar with multivariate
statistics is:

Hair J. H., Anderson R. E., Tatham R. L., Black W. C., 1998 -
Multivariate data analysis. Prentice Hall, Upper Saddle River, New
Jersey, 730 pp

No mathematical formulas, but detailed analysis and discussion on
several examples (e.g., it seems to me that there are 150 pages on
multiple regression). The aim of the book is not to give you the
mathematical bases for understanding multivariate statistics, but to
allow you to understand what happens when you use the most common
multivariate techniques, what are the assumptions etc. I would say that
after reading it you may have a decent qualitative knowledge of several
topics, and you can try going deeper into the subject playing with your
data and studying on other books.

I think that several manuals for statistical programs do something
similar to Hair et al. book: basic knowledge of the technique and
detailed description of examples.

Recently I bought:
Stevens J., 2002 - Applied multivariate statistics for social sciences.
LEA, London, 699 pp.

My first impression is that it is a great book, going a step forward
compared to Hair et al.: more explanations on mathematics but still
detailed discussion on examples. Mathematics is generally discussed
working out one or more examples.

Unfortunately, not everybody was so lucky to attend Prof. Rohlf or Prof.
Marcus lectures! But I found of great help, after learning the basis of
the most common multivariate techniques, trying to follow the example of
papers by Rohlf, Marcus, Corti etc.  and suggestions given in the help
oh Rohlf's software. Also, Reyment's statistical primer (see links in
Stony Brook website) is very useful to learn more about how/what
multivarite methods to apply in biology.

Complimentary to this kind of autodidact learning, but absolutely
essential to me, was the help and advice provided by several people,
most of whom are morphmet subscribers (by the way, 1000 thanks to you
all).

Good luck

Andrea

Andrea Cardini
Division of Mammals, Department of Vertebrate Zoology 
NHB 390, MRC 108
National Museum of Natural History, Smithsonian Institution
P.O. BOX 37012
Washington, DC 20013-7012, USA
tel. 202 3571476
[EMAIL PROTECTED]





>Hello,
>I just came across this service by accident, but I am pleased that I
>have. My name is Marc Laflamme, and I am presently undertaking a thesis
>in multivariate morphometrics at Queen's University in Kingston,
Canada.
>With this said, I more or less stumbled into morphometrics by accident,
>since my original project was purely taxonomic, but when it became
>obvious that my fossils were not going to be classified by simple
>taxonomy, I became consumed by a morphometrics project. So for the last
>few months, I have been struggling through the matrix and algebraic
>jargon in the hopes of finally understanding what my computer was doing
>when performing a PCA! To make a long story short, I am overwhelmed by
>many of the supposed "introductory" textbooks and papers which assume I
>have 10 years of statistical background under my belt. Please don't
>misunderstand me, I truly love the power associated with multivariate
>statistics, and the types of problems that can only be solved through
>morphometrics (to the point where I hope to upgrade my present project
>to a Phd dissertation), but I would really appreciate any comments on
>good morphometric papers/books/websites that i could read in order to
be
>able to tackle the harder literature in due time.
>
>I appreciate any comments or suggestions.
>
>Thank you, Marc Laflamme
>
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>For more information see
http://life.bio.sunysb.edu/morph/morphmet.html.
>
>

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