Springer Series in Statistics
2 total works
Scientists collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. It includes expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical correlation analysis.
This book contains the ideas of functional data analysis by a number of case studies. The case studies are accessible to research workers in a wide range of disciplines. Every reader should gain not only a specific understanding of the methods of functional data analysis, but more importantly a general insight into the underlying patterns of thought. There is an associated web site with MATLABr and S?PLUSr implementations of the methods discussed.