Applied functional data analysis methods and case studies

#Applied functional data analysis methods and case studies pdf

Obviously such an approach will not cover the eld exhaustively, and in any case functional data analysis is not a hard-edged closed system of thought. Obviously such an approach will not cover the field exhaustively, and in any case functional data analysis is not a hard-edged closed system of thought. ogy, neurophysiology, auxology (the study of human growth), meteorology, biomechanics, and educationand also a study of a juggling statistician. These include criminology, economics, archaeology, rheumatology, psychology, neurophysiology, auxology (the study of human growth), meteorology, biomechanics, and education-and also a study of a juggling statistician. This web page contains links to individual pages for each chapter in the book. Methods and Case Studies Introduction.- Life Course Data in Criminology.- The Nondurable Goods Index.

#Applied functional data analysis methods and case studies pdf

In most of applications, sample curves come from the observation of a stochastic process in continuous time. Request PDF Applied Functional Data Analysis. This book treats the field in a different way, by considering case stud-ies arising from our own collaborative research to illustrate how functional data analysis ideas work out in practice in a diverse range of subject areas. Applied Functional Data Analysis: Methods and Case Studies. Functional data analysis (FDA) is a topic of active statistical research devoted mainly to the extension of multivariate analysis techniques to the case where the data is a set of curves instead of vectors. At the same time, both of us rapidly became involved in relevant new research involving many colleagues in fields outside statistics. Almost as soon as we had completed our previous book Functional Data Analysis in 1997, it became clear that potential interest in the field was far wider than the audience for the thematic presentation we had given there.