Functional Data Analysis (Repost)
J. Ramsay (Author), B. W. Silverman, "Functional Data Analysis (Springer Series in Statistics)"
English | 1997-06-05 | ISBN: 0387949569 | 326 pages | PDF | 3.1 mb
English | 1997-06-05 | ISBN: 0387949569 | 326 pages | PDF | 3.1 mb
Scientists today collect samples of curves and other functional observations. This monograph 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. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drwan from growth analysis, meterology, biomechanics, equine science, economics, and medicine. The book presents novel statistical technology while keeping the mathematical level widely accessible.