Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

Two samples tests for functional data

Language

English

Abstract

Data in many experiments arises as curves and therefore it is natural to use a curve as a basic unit in the analysis, which is in terms of functional data analysis (FDA). Functional curves are encountered when units are observed over time. Although the whole function curve itself is not observed, a sufficiently large number of evaluations, as is common with modern recording equipment, is assumed to be available. In this article, we consider the statistical inference for the mean functions in the two samples problem drawn from functional data sets, in which we assume that functional curves are observed, that is, we consider the test if these two groups of curves have the same mean functional curve when the two groups of curves without noise are observed. The L2-norm based and bootstrap-based test statistics are proposed. It is shown that the proposed methodology is flexible. Simulation study and real-data examples are used to illustrate our techniques.

Keywords

Bootstrap-based test statistic, Functional data, Hypothesis test, L2-norm-based test statistic

Publication Date

2010

Source Publication Title

Communications in Statistics - Theory and Methods

Volume

39

Issue

4

Start Page

559

End Page

578

Publisher

Taylor & Francis

DOI

10.1080/03610920902755839

Link to Publisher's Edition

http://dx.doi.org/10.1080/03610920902755839

ISSN (print)

03610926

ISSN (electronic)

1532415X

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