A one-way ANOVA test for functional data with graphical interpretation

DOI10.14736/kyb-2020-3-0432zbMath1474.62199arXiv1612.03608OpenAlexW3042661625MaRDI QIDQ5122260

Ute Hahn, Milan Jílek, Mari Myllymäki, Tomáš Mrkvička

Publication date: 22 September 2020

Published in: Kybernetika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1612.03608

zbMATH Keywords

permutation testEuropefiscal decentralizationglobal envelope testgroups comparisonnonparametrical methods

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (12)

Modeling forest tree data using sequential spatial point processes ⋮ Should We Condition on the Number of Points When Modelling Spatial Point Patterns? ⋮ High-Dimensional MANOVA Via Bootstrapping and Its Application to Functional and Sparse Count Data ⋮ Local inference for functional linear mixed models ⋮ Stochastic reconstruction for inhomogeneous point patterns ⋮ Structured space-sphere point processes and \(K\)-functions ⋮ A nonparametric graphical tests of significance in functional GLM ⋮ Testing the first-order separability hypothesis for spatio-temporal point patterns ⋮ Graphical tests of independence for general distributions ⋮ False discovery rate envelopes ⋮ Two-way layout factorial experiments of spatial point pattern responses in mineral flotation ⋮ Invariant tests for functional data with application to an earthquake impact study

Uses Software

• R
• fda (R)
• fda.usc
• fdANOVA
• fregion
• GET

Cites Work

• Multiple Monte Carlo testing, with applications in spatial point processes
• Pairwise comparison of treatment levels in functional analysis of variance with application to erythrocyte hemolysis
• A simple multiway ANOVA for functional data
• A comparison of tests for the one-way ANOVA problem for functional data
• An ANOVA test for functional data
• Factor-based comparison of groups of curves
• Nonparametric functional data analysis. Theory and practice.
• Testing in mixed-effects FANOVA models
• Pointwise testing with functional data using the Westfall-Young randomization method
• A Geometric Approach to Confidence Regions and Bands for Functional Parameters
• A Studentized Permutation Test for the Comparison of Spatial Point Patterns
• Analysis of Variance for Functional Data
• Global Envelope Tests for Spatial Processes

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