Significance tests for functional data with complex dependence structure

DOI10.1016/j.jspi.2014.08.006zbMath1307.62128OpenAlexW1976778743WikidataQ30961220 ScholiaQ30961220MaRDI QIDQ464577

Ana-Maria Staicu, Raymond J. Carroll, Soumendra Nath Lahiri

Publication date: 27 October 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4443904

zbMATH Keywords

hierarchical modelingblock bootstrapsignificance testsfunctional datagroup mean testingspatially correlated curves

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items

Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data, Two-sample tests for multivariate functional data with applications, Inference in functional linear quantile regression, Statistical inference for stochastic processes: two-sample hypothesis tests, Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis, A two-sample test for mean functions with increasing number of projections, Bootstrap in semi-functional partial linear regression under dependence, A two sample test based on U-statistic for functional data, Testing linear operator constraints in functional response regression with incomplete response functions, Tests for equality of several covariance matrix functions for multivariate functional data, Discussion of the paper ‘A general framework for functional regression modelling’, Two-sample inference for sparse functional data, Moving block and tapered block bootstrap for functional time series with an application to the \(K\)-sample mean problem

Uses Software

• fda (R)

Cites Work

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