re green & carroll, and the geometry of mv methods, yes!!! wish i had the 2nd ed., but the first is pretty good. mathcad is also a nice tool with which to demonstrate their examples (freeware toolboxes like R or Rweb serve the same purpose). ---tad.
[EMAIL PROTECTED] wrote: > In my humble opinion, one of the most important steps in learning MV > statistics is acquiring an appreciation of the geometric aspects of the > methods. Algebraic derivations are important, but an intuitive sense of > rotations, projections, etc., is a major step in understanding what is > being done. This becomes self-evident after a while. To that end, I find > the following an excellent resource specifically for this kind of > information: > > Mathematical Tools for Applied Multivariate Analysis > J. Douglas Carroll, Paul E. Green, with contributions by Anil Chaturvedi > 1997. Academic Press > > -ds > > PS: I must acknowledge that many of my opinions, such as this one, were > acquired many years ago in Jim Rohlf's MV class, which I have attended > at every opportunity. Any foolishness, of course, is my own. > > On Tue, 2003-04-01 at 07:45, [EMAIL PROTECTED] wrote: > > 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 > > > > > > > > _________________________________________________________________ > > The new MSN 8: advanced junk mail protection and 2 months FREE* > > http://join.msn.com/?page=features/junkmail > > > > == > > Replies will be sent to list. > > For more information see > http://life.bio.sunysb.edu/morph/morphmet.html. > -- > Dennis E. Slice, Ph.D. > Department of Biomedical Engineering > Division of Radiologic Sciences > Wake Forest University School of Medicine > Winston-Salem, North Carolina, USA > 27157-1022 > Phone: 336-716-5384 > Fax: 336-716-2870 > > == > Replies will be sent to list. > For more information see http://life.bio.sunysb.edu/morph/morphmet.html. -- <+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ <Tim Dickinson <ROM Vascular Plant Herbarium (TRT) < <Center for Biodiversity & Conservation Biology <Royal Ontario Museum <100 Queen's Park <Toronto ON <CANADA M5S 2C6 < <Phone: (416) 586 8032 FAX: (416) 586 7921 <E-mail: [EMAIL PROTECTED] <Homepage: http://www.botany.utoronto.ca/faculty/dickinson/ <+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ == Replies will be sent to list. For more information see http://life.bio.sunysb.edu/morph/morphmet.html.
