
Books and Other Monographs
For NonStatisticians:
Unfortunately this web site is about all we've got! Some work to do here!
Do visit the examples page for interesting examples.
For Intermediates:
 Bookstein, F. L. (1991) Morphometric Tools for Landmark Data: Geometry and Biology. Cambridge: Cambridge University Press.
Especially interesting for it's approach to the registration problem in a spatial data context.
 Caillez, F. and Pagès, J. P. (1976) Introduction à l'analyse des données. Paris: SMASH.
It's a shame that a version of this book never made it into English. These authors wrote a truly different book on multivariate data
analysis in the French functional analytic tradition, but aimed at nonmathematicians, and largely successful, too.
 Diggle, P. J., Liang, K.Y. and Zeger, S. L. (1994) Analysis of Longitudinal Data. New York: Oxford University Press.
An important text on this closely related field.
 Hastie, T. and Tibshirani, R. (1990) Generalized Additive Models. New York: Chapman and Hall.
GAM is a type of functional data analysis; and their highly readable book contains a nice discussion of splines among many other goodies.
 Ramsay, J. O. and Silverman, B. W. (1997). Functional Data Analysis. New York: SpringerVerlag.
Is this an intermediate reference? We tried. We are now revising this thing.
 Ramsay, J. O. and Silverman, B. W. (202). Applied Functional Data Analysis. New York: SpringerVerlag.
Surely this is intermediate. FDA put to work on various interesting problems, and a little new theory added here and there.
 Simonoff, J. S. (1996) Smoothing Methods in Statistics. New York: Springer.
A good reference on smoothing, with lots of examples, and well written, too.
