Combining functions and the closure principle for performing follow-up tests in functional analysis of variance

DOI10.1016/j.csda.2013.05.005zbMath1471.62203OpenAlexW2165929786MaRDI QIDQ1615103

S. L. Powell, M. C. Greenwood, K. S. Repasky, O. A. Vsevolozhskaya, G. J. Bellante, R. L. Lawrence

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://works.bepress.com/cgi/viewcontent.cgi?article=1013&context=vsevolozhskaya

zbMATH Keywords

distance-based methodfunctional data analysispermutation methodmultiple comparison procedure

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Functional data analysis (62R10) Analysis of variance and covariance (ANOVA) (62J10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (3)

Pairwise comparison of treatment levels in functional analysis of variance with application to erythrocyte hemolysis ⋮ Local inference for functional linear mixed models ⋮ Nonparametric inference for functional‐on‐scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament

Uses Software

• R
• fda (R)
• vegan
• multtest

Cites Work

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• Pointwise testing with functional data using the Westfall-Young randomization method
• A resampling procedure for nonparametric combination of several dependent tests
• Functional Data Analysis with R and MATLAB
• On closed testing procedures with special reference to ordered analysis of variance
• Analysis of Distance for Structured Multivariate Data and Extensions to Multivariate Analysis of Variance
• On a Heuristic Method of Test Construction and its use in Multivariate Analysis

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