Profile Analysis in High Dimensions

Abstract

The three tests in profile analysis: test of parallelism, test of level and test of flatness are modified so that high-dimensional data can be analysed. Using specific scores, dimension reduction is performed and the exact null distributions are derived for the three hypotheses.

Keywords

High-dimensional data; Hypothesis testing; Linear scores; Multivariate analysis; Profile analysis; Spherical distributions

Published in

Journal of Statistical Theory and Practice
2021, Volume: 15, number: 1, article number: 15
Publisher: SPRINGER

SLU Authors

• Cengiz, Cigdem

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    
  • Linköping University

• von Rosen, Dietrich

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    
  • Linköping University

UKÄ Subject classification

Probability Theory and Statistics


Publication identifier

DOI: https://doi.org/10.1007/s42519-020-00154-z

Permanent link to this page (URI)

https://res.slu.se/id/publ/123229