Scientists today collect samples of curves and other functional observations. This book presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. The data sets exemplify the wide scope of functional data analysis : they are drawn from growth analysis, meteorology, biomechanics, equine science, economics, and medicine.
