Includes bibliographical references (pages 405-418) and index.
Introduction; Tools for exploring functional data; From functional data to smooth functions; Smoothing functional data by least squares; Smoothing functional data with a roughness penalty; Constrained functions; The registration and display of functional data; Principal components analysis for functional data; Regularized principal components analysis; Principal components analysis of mixed data; Canonical correlation and discriminant analysis; Functional linear models; Modelling functional responses with multivariate covariates.
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"The book presents novel statistical technology, much of it based on the authors' own research work, while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. This second edition is aimed at a wider range of readers, and especially those who would like to apply these techniques to their research problems."--Jacket.