Two Samples Tests for Functional Data

DOI10.1080/03610920902755839zbMath1188.62160OpenAlexW1966394151MaRDI QIDQ3562431

Chongqi Zhang, Heng Peng, Jin-Ting Zhang

Publication date: 21 May 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920902755839

zbMATH Keywords

hypothesis testfunctional data\(L^2\)-norm-based test statisticbootstrap-based test statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric statistical resampling methods (62G09) Graphical methods in statistics (62A09)

Related Items

Asymptotic normality of a generalized maximum mean discrepancy estimator, Two-sample tests for multivariate functional data with applications, Robust multivariate functional discriminant coordinates, An \(L^2\)-norm-based test for equality of several covariance functions: a further study, Kernel based method for the k-sample problem with functional data, A \(k\)-sample test for functional data based on generalized maximum mean discrepancy, Distribution/correlation-free test for two-sample means in high-dimensional functional data with eigenvalue decay relaxed, Unnamed Item, Significance tests for functional data with complex dependence structure, Regression function comparison for paired data, Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data, A Wilcoxon-Mann-Whitney spatial scan statistic for functional data, Inferential procedures for partially observed functional data, A constructive hypothesis test for the single-index models with two groups, Testing the equality of a large number of means of functional data, On the two-sample Behrens-Fisher problem for functional data, Testing equality of spectral density operators for functional processes, Moving block and tapered block bootstrap for functional time series with an application to the \(K\)-sample mean problem

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