This book links two fields of modern statistics by explaining how
functional data can be studied through parameter-free statistical ideas.
This book starts from theoretical foundations including functional
nonparametric modelling, description of the mathematical framework,
construction of the statistical methods, and statements of their
asymptotic behaviors. It proceeds to computational issues including R
and S-PLUS routines.