Milan Stehlik, Mirtha Pari Ruiz, Silvia Stehlikova, Y. Lu,
"On equidistant designs, symmetries and their violations in multivariate models"
, in Fan J., Pan J.: Contemporary Experimental Design, Multivariate Analysis and Data Mining, Springer, Cham, Seite(n) 217-225, 2020
Original Titel:
On equidistant designs, symmetries and their violations in multivariate models
Sprache des Titels:
Englisch
Original Buchtitel:
Contemporary Experimental Design, Multivariate Analysis and Data Mining
Original Kurzfassung:
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.