Frédéric Ferraty,
Philippe Vieu
Nonparametric Functional Data Analysis
Theory and Practice
Paperback Engels 2010 9781441921413
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.
Specificaties
ISBN13:9781441921413
Taal:Engels
Bindwijze:paperback
Aantal pagina's:260
Uitgever:Springer New York
Druk:0
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Inhoudsopgave
Introduction to functional nonparametric statistics.- Some functional datasets and associated statistical problematics.- What is a well adapted space for functional data?.- Local weighting of functional variables.- Functional nonparametric prediction methodologies.- Some selected asymptotics.- Computational issues.- Nonparametric supervised classification for functional data.- Nonparametric unsupervised classification for functional data.- Mixing, nonparametric and functional statistics.- Some selected asymptotics.- Application to continuous time processes prediction.- Small ball probabilities, semi-metric spaces and nonparametric statistics.- Conclusion and perspectives.
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