On equidistant designs, symmetries and their violations in multivariate models

Milan Stehlik, Mirtha Pari Ruiz, Silvia Stehlikova, Y. Lu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this Festschrift to Prof. Kai-Tai Fang 80 birthday we emphasize importance and potential of his results in statistics and general sciences. In particular we concentrate on equidistant designs, symmetric and asymmetric models. We discuss equidistant designs from perspective of optimal designs of experiments with correlated errors. We address symmetry and asymmetry of statistical multivariate models and its recent developments. Several applications are given.
Original languageEnglish
Title of host publicationContemporary Experimental Design, Multivariate Analysis and Data Mining
Editors Fan J., Pan J.
Place of PublicationCham
PublisherSpringer
Pages217-225
Number of pages9
DOIs
Publication statusPublished - 2020

Fields of science

  • 101018 Statistics
  • 101024 Probability theory
  • 101029 Mathematical statistics
  • 102009 Computer simulation
  • 509 Other Social Sciences

Cite this