Scientists often collect samples of curves and other functional observations, and develop models where parameters are also functions. This volume is especially aimed toward those wanting to apply these techniques to their research problems.

Includes supplementary material: sn.pub/extras

Inhalt
to Functional Data Analysis.- Essential Comparisons of the Matlab and R Languages.- How to Specify Basis Systems for Building Functions.- How to Build Functional Data Objects.- Smoothing: Computing Curves from Noisy Data.- Descriptions of Functional Data.- Exploring Variation: Functional Principal and Canonical Components Analysis.- Registration: Aligning Features for Samples of Curves.- Functional Linear Models for Scalar Responses.- Linear Models for Functional Responses.- Functional Models and Dynamics.