Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data

Qing Jiang, Marie Hušková, Simos G. Meintanis*, Lixing ZHU

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

We consider two-sample tests for functional data with observations which may be uni- or multi-dimensional. The new methods are formulated as L2-type criteria based on empirical characteristic functions and are convenient from the computational point of view. Asymptotic properties are presented. Simulations and two real data applications are conducted in order to evaluate the performance of the proposed tests vis-à-vis other methods.

Original languageEnglish
Pages (from-to)202-220
Number of pages19
JournalJournal of Multivariate Analysis
Volume170
DOIs
Publication statusPublished - Mar 2019

Scopus Subject Areas

  • Statistics and Probability
  • Numerical Analysis
  • Statistics, Probability and Uncertainty

User-Defined Keywords

  • Empirical characteristic function
  • Functional data
  • Two-sample problem

Fingerprint

Dive into the research topics of 'Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data'. Together they form a unique fingerprint.

Cite this