Functional Data Analysis with R and MATLAB

2. Introduction to Functional Data Analysis
J.O Ramsay, Giles Hooker, Spencer Graves

3. Essential Comparisons of the Matlab and R Languages
J.O Ramsay, Giles Hooker, Spencer Graves

4. How to Specify Basis Systems for Building Functions
J.O Ramsay, Giles Hooker, Spencer Graves

5. How to Build Functional Data Objects
J.O Ramsay, Giles Hooker, Spencer Graves

6. Smoothing: Computing Curves from Noisy Data
J.O Ramsay, Giles Hooker, Spencer Graves

7. Descriptions of Functional Data
J.O Ramsay, Giles Hooker, Spencer Graves

8. Exploring Variation: Functional Principal and Canonical Components Analysis
J.O Ramsay, Giles Hooker, Spencer Graves

9. Registration: Aligning Features for Samples of Curves
J.O Ramsay, Giles Hooker, Spencer Graves

10. Functional Linear Models for Scalar Responses
J.O Ramsay, Giles Hooker, Spencer Graves

11. Linear Models for Functional Responses
J.O Ramsay, Giles Hooker, Spencer Graves

12. Functional Models and Dynamics
J.O Ramsay, Giles Hooker, Spencer Graves

Keywords: Statistics, Statistics and Computing/Statistics Programs, Data Mining and Knowledge Discovery, Marketing, Biostatistics, Psychometrics, Public Health/Gesundheitswesen