Please use this identifier to cite or link to this item: https://doi.org/10.1080/03610920902755839
DC FieldValue
dc.titleTwo samples tests for functional data
dc.contributor.authorZhang, C.
dc.contributor.authorPeng, H.
dc.contributor.authorZhang, J.-T.
dc.date.accessioned2014-10-28T05:16:20Z
dc.date.available2014-10-28T05:16:20Z
dc.date.issued2010-01
dc.identifier.citationZhang, C., Peng, H., Zhang, J.-T. (2010-01). Two samples tests for functional data. Communications in Statistics - Theory and Methods 39 (4) : 559-578. ScholarBank@NUS Repository. https://doi.org/10.1080/03610920902755839
dc.identifier.issn03610926
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105445
dc.description.abstractData 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/03610920902755839
dc.sourceScopus
dc.subjectBootstrap-based test statistic
dc.subjectFunctional data
dc.subjectHypothesis test
dc.subjectL2-norm-based test statistic
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1080/03610920902755839
dc.description.sourcetitleCommunications in Statistics - Theory and Methods
dc.description.volume39
dc.description.issue4
dc.description.page559-578
dc.description.codenCSTMD
dc.identifier.isiut000274431800001
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

28
checked on May 13, 2022

WEB OF SCIENCETM
Citations

27
checked on May 13, 2022

Page view(s)

147
checked on May 12, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.