An inferential framework for domain selection in functional ANOVA

K. Abramowicz; C. Häger; K. Hébert-Losier; Alessia Pini; L. Schelin; J. Strandberg; S. Vantini

An inferential framework for domain selection in functional ANOVA

K. Abramowicz
, C. Häger
, K. Hébert-Losier
, Alessia Pini^*
, L. Schelin
, J. Strandberg
, S. Vantini

^*Corresponding author

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We present a procedure for performing an ANOVA test on functional data, including pairwise group comparisons, in a Scheff´e-like perspective. The test is based on the Interval Testing Procedure, and it selects intervals where the groups significantly differ. The procedure is applied on the 3D kinematic motion of the knee joint collected during a functional task (one leg hop) performed by three groups of individuals.

Original language	English
Title of host publication	Contributions in infinite-dimensional statistics and related topics
Editors	A. Goia, E. Salinelli, P. Vieu
Pages	13-18
Number of pages	6
Publication status	Published - 2014

Keywords

Functional data analysis, nonparametric statistics, analysis of variance

Cite this

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title = "An inferential framework for domain selection in functional ANOVA",

abstract = "We present a procedure for performing an ANOVA test on functional data, including pairwise group comparisons, in a Scheff´e-like perspective. The test is based on the Interval Testing Procedure, and it selects intervals where the groups significantly differ. The procedure is applied on the 3D kinematic motion of the knee joint collected during a functional task (one leg hop) performed by three groups of individuals.",

keywords = "Functional data analysis, nonparametric statistics, analysis of variance, Functional data analysis, nonparametric statistics, analysis of variance",

author = "K. Abramowicz and C. H{\"a}ger and K. H{\'e}bert-Losier and Alessia Pini and L. Schelin and J. Strandberg and S. Vantini",

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TY - CHAP

T1 - An inferential framework for domain selection in functional ANOVA

AU - Abramowicz, K.

AU - Häger, C.

AU - Hébert-Losier, K.

AU - Pini, Alessia

AU - Schelin, L.

AU - Strandberg, J.

AU - Vantini, S.

PY - 2014

Y1 - 2014

N2 - We present a procedure for performing an ANOVA test on functional data, including pairwise group comparisons, in a Scheff´e-like perspective. The test is based on the Interval Testing Procedure, and it selects intervals where the groups significantly differ. The procedure is applied on the 3D kinematic motion of the knee joint collected during a functional task (one leg hop) performed by three groups of individuals.

AB - We present a procedure for performing an ANOVA test on functional data, including pairwise group comparisons, in a Scheff´e-like perspective. The test is based on the Interval Testing Procedure, and it selects intervals where the groups significantly differ. The procedure is applied on the 3D kinematic motion of the knee joint collected during a functional task (one leg hop) performed by three groups of individuals.

KW - Functional data analysis, nonparametric statistics, analysis of variance

UR - http://hdl.handle.net/10807/119833

M3 - Chapter

SN - 9788874887637

SP - 13

EP - 18

BT - Contributions in infinite-dimensional statistics and related topics

A2 - Goia, A.

A2 - Salinelli, E.

A2 - Vieu, P.

ER -

An inferential framework for domain selection in functional ANOVA

Abstract

Keywords

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