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Differential interval-wise testing for local inference in Sobolev spaces
MOX - Department of Mathematics, Politecnico di Milano, Milano, Italy.ORCID iD: 0000-0001-9235-3062
2017 (English)In: Functional statistics and related fields / [ed] Germán Aneiros, Enea G. Bongiorno, Ricardo Cao, Philippe Vieu, Springer, 2017, p. 203-210Chapter in book (Refereed)
Abstract [en]

We present a local non-parametric inferential technique - namely, the differential interval-wise testing, or D-IWT - able to test the distributional equality of two samples of functional data embedded in Sobolev spaces. D-IWT can impute differences between the two samples to specific parts of the domain and to specific orders of differentiation. The proposed technique is applied to the functional data analysis of a data set of tongue profiles.

Place, publisher, year, edition, pages
Springer, 2017. p. 203-210
Series
Contributions to Statistics, ISSN 1431-1968
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:umu:diva-138839DOI: 10.1007/978-3-319-55846-2_27ISBN: 978-3-319-55846-2 (electronic)ISBN: 978-3-319-55845-5 (print)OAI: oai:DiVA.org:umu-138839DiVA, id: diva2:1137869
Note

Fourth International Workshop on Functional and Operatorial Statistics (IWFOS 2017), A Coruña, Spain, 15-17 June 2017.

Available from: 2017-09-01 Created: 2017-09-01 Last updated: 2018-06-09Bibliographically approved

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Pini, Alessia

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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