On the two-sample Behrens-Fisher problem for functional data

DOI10.1080/15598608.2010.10412005zbMath1420.62362OpenAlexW2063346044MaRDI QIDQ2324124

Jin-Ting Zhang, Shengning Xiao, Xuehua Liang

Publication date: 13 September 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2010.10412005

zbMATH Keywords

two-sample testBehrens-Fisher problem\(\sqrt{n}\)-consistency\(L^2\)-norm based test\({\chi}^2\)-approximation\({\chi}^2\)-type mixtureWelch-type method

Mathematics Subject Classification ID

Approximations to statistical distributions (nonasymptotic) (62E17) Non-Markovian processes: hypothesis testing (62M07)

Related Items (7)

Unnamed Item ⋮ Statistical inference for stochastic processes: two-sample hypothesis tests ⋮ Hotelling's \(T^2\) in separable Hilbert spaces ⋮ Testing the equality of several covariance functions for functional data: a supremum-norm based test ⋮ A joint latent factor analyzer and functional subspace model for clustering multivariate functional data ⋮ A two-sample test for mean functions with increasing number of projections ⋮ Two-sample inference for sparse functional data

Uses Software

• fda (R)
• KernSmooth
• SemiPar

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