Functional data analysis with R

• Verfasst von: Crainiceanu, Ciprian M. [VerfasserIn]
• Verfasst von: Goldsmith, Jeff [VerfasserIn]
• Verfasst von: Leroux, Andrew [VerfasserIn]
• Verfasst von: Cui, Erjia [VerfasserIn]
• Titel: Functional data analysis with R
• Verf.angabe: Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, and Erjia Cui
• Ausgabe: First edition
• Verlagsort: Boca Raton ; London ; New York
• Verlag: CRC Press
• Jahr: 2024
• Umfang: 1 Online-Ressource (xiii, 323 Seiten)
• Illustrationen: Diagramme
• Gesamttitel/Reihe: Monographs on statistics and applied probability ; 174
• Fussnoten: Includes bibliographical references and index
• ISBN: 978-1-003-27872-6
• DOI: doi:10.1201/9781003278726
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Crainiceanu, Ciprian: Functional data analysis with R. - First edition. - Boca Raton : CRC Press, 2024. - pages cm
• K10plus-PPN: 1884377793
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

"Functional Data Analysis with R is primarily aimed at undergraduate, masters, and PhD students, as well as data scientists and researchers working on functional data analysis. The book can be read at different levels and combines state-of-the-art software, methods, and inference. It can be used for self-learning, teaching, and research, and will particularly appeal to anyone who is interested in practical methods for hands-on, problem-forward functional data analysis. The reader should have some basic coding experience, but expertise in R is not required"--