The One- and Multi-sample Problem for Functional Data with Application to Projective Shape Analysis

Author

Axel Munk
Robert Paige L., Missouri University of Science and TechnologyFollow
J. Pang
Vic Patrangenaru
Frits H. Ruymgaart

Editor(s)

de Leeuw, J.

Abstract

In this paper tests are derived for testing neighborhood hypotheses for the one- and multi-sample problem for functional data. Our methodology is used to generalize testing in projective shape analysis, which has traditionally involving data consisting of finite number of points, to the functional case. The one-sample test is applied to the problem of scene identification, in the context of the projective shape of a planar curve.

Recommended Citation

A. Munk et al., "The One- and Multi-sample Problem for Functional Data with Application to Projective Shape Analysis," Journal of Multivariate Analysis, Elsevier, Jan 2008.

The definitive version is available at https://doi.org/10.1016/j.jmva.2007.04.007

Department(s)

Mathematics and Statistics

Keywords and Phrases

functional data; precise hypotheses; validation of hypotheses; image analysis; projective shape data analysis

International Standard Serial Number (ISSN)

0047-259X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2008 Elsevier, All rights reserved.

Publication Date

01 Jan 2008