UID:
almahu_9949747651502882
Format:
1 online resource (xiii, 323 pages) :
,
illustrations (chiefly color), color maps.
Edition:
First edition.
ISBN:
9781003278726
,
1003278728
,
9781003856306
,
1003856306
,
9781003856320
,
1003856322
Series Statement:
Monographs on statistics and applied probability ; 174
Content:
"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"--
Note:
1. Basic Concepts2. Key Methodological Concepts3. Functional Principal Components Analysis4. Scalar-on-Function Regression5. Function-on-Scalar Regression6. Function-on-Function Regression7. Survival Analysis with Functional Predictors8. Multilevel Functional Data Analysis9. Clustering of Functional Data
Additional Edition:
Print version: Crainiceanu, Ciprian. Functional data analysis with R Boca Raton : CRC Press, 2024 ISBN 9781032244716
Language:
English
DOI:
10.1201/9781003278726
URL:
https://www.taylorfrancis.com/books/9781003278726
