Interpoint distance-based two-sample tests for functional data
From MaRDI portal
Publication:6541113
DOI10.1080/03610926.2022.2148475MaRDI QIDQ6541113
Hikaru Yamaguchi, Hidetoshi Murakami
Publication date: 17 May 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Energy statistics: a class of statistics based on distances
- A nonparametric two-sample test applicable to high dimensional data
- Goodness of fit and homogeneity tests on the basis of N-distances
- Common functional principal components
- Multilevel functional principal component analysis
- Factor-based comparison of groups of curves
- The jackknife estimate of variance
- On a new multivariate two-sample test.
- On the two-sample Behrens-Fisher problem for functional data
- Rank and pseudo-rank procedures for independent observations in factorial designs. Using R and SAS
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Generalized Multilevel Functional Regression
- Dispersion operators and resistant second-order functional data analysis
- Testing the Equality of Covariance Operators in Functional Samples
- Estimation of the Mean of Functional Time Series and a Two-Sample Problem
- A Wilcoxon-Mann-Whitney-type test for infinite-dimensional data
- Functional Data Analysis for Sparse Longitudinal Data
- Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements
- A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis
This page was built for publication: Interpoint distance-based two-sample tests for functional data