Functional Data Analysis

摘要: Scientists today collect samples of curves and other functional observations. This monograph presents many ideas techniques for such data. Included are expressions in the domain classics as linear regression, principal components analysis, modelling, canonical correlation well specifically curve registration differential analysis. Data arising real applications used throughout both motivation illustration, showing how approaches allow us to see new things, especially by exploiting smoothness processes generating The data sets exemplify wide scope analysis; they drwan from growth meterology, biomechanics, equine science, economics, medicine. book novel statistical technology while keeping mathematical level widely accessible. It is designed appeal students, applied analysts, experienced researchers; it will have value within statistics across a broad spectrum fields. Much material based on authors' own work, some which appears here first time. Jim Ramsay Professor Psychology at McGill University an international authority aspects multivariate He draws his collaboration with researchers speech articulation, motor control, meteorology, psychology, human physiology illustrate technical contributions analysis range application journals. Bernard Silverman, author highly regarded "Density Estimation Statistics Analysis," coauthor "Nonparametric Regression Generalized Linear Models: A Roughness Penalty Approach," Bristol University. His published work smoothing methods applied, computational, theoretical has been recognized Presidents' Award Committee Presidents Statistical Societies, award two Guy Medals Royal Society.