Linear Models for Functional Responses

Part of the Use R book series (USE R)


In this second chapter on the functional linear model, the dependent or response variable is functional. We first consider a situation in which all of the independent variables are scalar and in particular look at two functional analyses of variance.

When one or more of the independent variables is also function, we have two possible classes of linear models. The simpler case is called concurrent, where the value of the response variable y(t) is predicted solely by the values of one or more functional covariates at the same time t. The more general case where functional variables contribute to the prediction for all possible time values s is briefly reviewed.


Functional Response Null Distribution Knee Angle Hazard Curve List Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.OttawaCanada
  2. 2.Department of Biological Statistics & Computational BiologyCornell UniversityIthacaUSA
  3. 3.Productive Systems EngineeringSan JoseUSA

Personalised recommendations