Back To Index Previous Article Next Article Full Text


Statistica Sinica 14(2004), 631-647





FUNCTIONAL AND LONGITUDINAL DATA ANALYSIS:

PERSPECTIVES ON SMOOTHING


John A. Rice


University of California, Berkeley


Abstract: The perspectives and methods of functional data analysis and longitudinal data analysis for smoothing are contrasted and compared. Topics include kernel methods and random effects models for smoothing, basis function methods, and examination of correlates of curve shapes. Some directions in which methodology might advance are identified.



Key words and phrases: Functional data analysis, longitudinal data analysis, nonparametric curve estimation.



Back To Index Previous Article Next Article Full Text